The present disclosure generally pertains to cable television network technology, and particularly to adaptive and dynamic multiplexing techniques for traffic over various network topologies.
The delivery of digital television to the home was launched in earnest in 1995 for both cable television as well as satellite-delivery systems. This new technology enabled multi-channel video program distributors (MVPD) to provide far more television programming using available network bandwidth as compared to what had been possible using analog signals of the same programs. A plurality of digital television signals are combined to fit multiple digital channels into the space of one legacy analog channel via a process called “multiplexing.” When television programs were digitally encoded at a fixed bit rate (called Constant Bit Rate or ‘CBR’), then the early digital cable TV systems could carry perhaps six to eight digital television programs in the space of a single legacy analog channel (6 MHz for NTSC or 8 MHz for non-NTSC-based systems).
The distribution networks of MVPD systems, whether cable TV or satellite, are known as “managed networks” because the output of a multiplexer is typically of a fixed bit rate. For comparison, the Internet data network is known as an “unmanaged” network, since the public use of the Internet is not regulated by a central controlling mechanism and bandwidth between two points on the network varies unpredictably.
Variable bit rate (VBR) video encoding is more efficient in the use of bandwidth than CBR encoding. VBR also generally delivers a better quality picture for the same average bandwidth. However, VBR is more difficult to manage on a distribution network. Statistical multiplexing is used to address this difficulty.
With the advent of interactive services hosted in a central location, such as a cable TV headend as well as with media originating “in the cloud” and routing over a managed network to a consumer set-top box, the difficulty of managing the VBR session within a multiplexer becomes far more challenging and more prone to adverse interactions among the sessions within a multiplex stream.
Interactive television services provide the viewer with the ability to interact with their television for the purposes of selecting certain television programming, requesting more information about the programming, or responding to offers, among many possible uses. Such services have been used, for example, to provide navigable menu and ordering systems that are used to implement electronic program guides and on-demand and pay-per-view program reservations without the need to call a service provider. These services typically employ an application that is executed on a server located remotely from the viewer. Such servers may be, for example, located at a cable television headend. The output of a software application running on such servers is streamed to the viewer, typically in the form of an audio-visual MPEG Transport Stream. This enables the stream to be displayed on (or using) virtually any client device that has MPEG decoding capabilities, including a “smart” television, television set-top box, game console, and various network-connected consumer electronics devices and mobile devices. The client device enables the user to interact with the remote application by capturing keystrokes and passing these to the software application over a network connection.
An interactive television service combines the properties of managed and unmanaged network topologies. Such services require low delay, perceptually real-time properties typically associated with Real Time Transport Protocol running over User Datagram Protocol (UDP/RTP) high-complexity, proprietary clients. However, in interactive television applications the stream must be received by relatively low-complexity clients using consumer electronics-grade components. Typically, these clients do not have the capability of much more powerful laptop and tablet computers to which the user has grown accustom. Hence, interactive applications hosted on a cable or satellite set-top box are perceived as slow and old-fashioned compared to the contemporary norm. Hosting the application in a central means (e.g., a remote server located at a cable television headend) and providing the picture output to the set-top device mitigates this shortcoming and allow for the delivery of rich, highly interactive applications and services. It also places stronger demands on the distribution network to deliver these services.
A centrally (remotely) hosted interactive television service provides a combination of relatively static image portions representing a Graphical User Interface (graphical UI or GUI) that requires low-latency, artifact-free updates responsive to user input, and other portions that may have video with associated audio that require smooth and uninterrupted play-out. Conventional network distribution systems do not adequately facilitate this combination of data types. For instance, with existing statistical multiplexers for cable or satellite television systems, when large user interface graphics of a particular session need to be sent to a particular client, the many other sessions sharing the same multiplex have no means available (except a drastic reduction in image quality) to scale back the bandwidth requirements of adjacent streams to allow a temporary large data block representing the UI graphics to pass.
With many interactive sessions active within a single multiplex stream, a possibility exists for disruption to video, audio and/or GUI data. The only alternative that conventional systems have is for the conservative allocation of bandwidth which then supports many fewer simultaneous sessions per multiplex stream.
Therefore, it is desirable to provide an improved way for multiplexing interactive program streams.
Additional background information is provided in U.S. patent application Ser. Nos. 12/443,571; 13/438,617; and 14/217,108, all of which are incorporated by reference herein in their entirety.
Digital television over a managed network such as a cable television system uses constant-bandwidth channels to carry multiple program streams. Multiplexing within a fixed allocation of bandwidth requires a multiplexer controller to manage the allocation of bandwidth among a group of competing program streams or competing sessions. In this manner, an individual program stream or session competes for bandwidth against the remainder of the program streams in the group of program streams. Control logic in the multiplexer controller is used to manage the byte allocation among the program streams so that as few compromises as possible in quality are required, and the necessary compromises are evenly distributed among the group.
On an unmanaged network, such as the Internet, a single program stream (or session) competes for bandwidth with a large number of other unknown streams over which the multiplexer's controller has no control. One of the many advantages of the systems and methods described herein is that a multiplexer controller can control both managed and unmanaged network traffic and utilize a class-based, multi-dimensional control logic that optimizes the interactive user experience for television programming distributed across any type of network.
In some embodiments, a method for prioritizing content classes in multiplexed content streams is performed at a server system. The method includes assigning a group of user sessions to a single modulator. The user sessions include data in a plurality of classes, each class having a respective priority. An aggregate bandwidth of the group of user sessions for a first frame time is computed. It is determined that the aggregate bandwidth for the first frame time exceeds a specified budget for the modulator. In response to determining that the aggregate bandwidth for the first frame time exceeds the specified budget, bandwidth is allocated for the group of user sessions during the first frame time in accordance with the class priorities. Using the modulator, the group of user sessions is multiplexed onto a channel corresponding to the modulator, in accordance with the allocated bandwidth. The multiplexed group of user sessions is transmitted over a managed network.
In some embodiments, a server system includes a plurality of modulators to multiplex respective groups of user sessions onto respective channels for transmission over a managed network, in accordance with allocated bandwidth. The server system also includes one or more processors and memory storing one or more programs configured to be executed by the one or more processors. The one or more programs include instructions for performing the above-described method.
In some embodiments, a non-transitory computer-readable storage medium stores one or more programs configured for execution by one or more processors of a server system that also includes a plurality of modulators to multiplex respective groups of user sessions onto respective channels for transmission over a managed network in accordance with allocated bandwidth. The one or more programs include instructions for performing the above-described method.
For a better understanding of the various described embodiments, reference should be made to the Detailed Description below, in conjunction with the following drawings. Like reference numerals refer to corresponding parts throughout the figures and description.
Reference will now be made to embodiments, examples of which are illustrated in the accompanying drawings. In the following description, numerous specific details are set forth in order to provide an understanding of the various described embodiments. However, it will be apparent to one of ordinary skill in the art that the various described embodiments may be practiced without these specific details. In other instances, well-known methods, procedures, components, circuits, and networks have not been described in detail so as not to unnecessarily obscure aspects of the embodiments.
The legacy analog television channels of 6 MHz (8 MHz for non-U.S.-based systems) are now largely filled with digital carriers containing many digital TV channels each. More recent cable television distribution networks were designed for broadcast TV, and not interactive television. Hence, there are many obstacles for providing interactive experiences using such legacy distribution networks.
In order to take maximum advantage of the digital bandwidth on a managed network, digital encoding is employed that utilizes a variable-bit-rate (VBR) method to efficiently accommodate differences in video content. For example, a video program might have a prolonged scene with little action and hence have a comparatively low bit rate. When in this same program an action scene arrives, the bit rate will usually increase substantially. VBR encoding can generally follow the action, so to speak, and adjust the resulting bit rate in essentially direct proportion to the demands of the program or service producing the audio-video information: low bit rate for still scenes, slightly more for talking heads and a high bit rate for action. In contrast, conventional systems typically can only employ a Constant Bit Rate (CBR) encoding regime. Hence, the bit rate would have to be high enough to accommodate the maximum requirement of the action scene even though the average bit rate might be less than one-third of the action scene's peak bit rate. Unlike CBR encoding, it is this very difference between peak and average bit rate that can be exploited when employing VBR encoding to maximize the number of television programs that can be combined into a single multiplexed stream.
“Statistical multiplexing” effectively aggregates multiple VBR streams to smooth-out transmission peaks. The peak utilization of the aggregated stream is less than the sum of the peak utilization of the individual streams. In other words, the streams share a certain amount of headroom. “Headroom” represents a bits-per-second amount (e.g., eight megabits-per-second (Mbps)) that is set aside for one or more streams of audio-video-data. As the system employs VBR encoding, a stream that may average 2 Mbps will peak occasionally to perhaps 6 Mbps. So if there is a multiplex of, for example, ten streams, one of the ten may peak at any given time. If it is expected that two of ten might peak simultaneously at any given instant, one allots 8 Mbps to allow the two streams to overshoot by 4 Mbps each. As more streams are multiplexing into a group, less collective overhead is needed because each stream will also drop below the 2 Mbps momentarily and the collective under-utilized bandwidth can contribute to the headroom reserve.
The term “statistical” comes from combining (i.e., multiplexing) digital video streams with the expectation that, on average, not all streams will require maximum headroom at the same time. In fact, MVPD operators specifically group their channels by program type so that not all sports channels are in one multiplex, and the like. Hence, if one can disperse bursty traffic, such as MPEG where scene changes and intra-encoded frames (I-frames) are much larger than the average bit rate of the stream, among the less active program channels, statistical multiplexing can provide a significant gain.
There is a probability, although small, that too many individual streams within a multiplex group experience a peak at the same time.
“Intelligent multiplexing” (i-muxing) adds a variety of mitigation techniques to statistical multiplexing when too many peaks would otherwise collide, i.e. when the bandwidth allocated to the aggregate of the streams would be exceeded. For example, screen updates to the user interface for interactive television applications can be deferred to a later frame. This reduces the aggregated bandwidth, but at the cost of increasing the delay before the user sees an expected update to an on-screen menu, for example. This delay is known as latency. In another example, if the screen update for the user interface provides the most information (e.g., the user is expecting a menu to appear), a multiplexer controller with knowledge of this event sequence can decide to not delay the UI screen update and rather drop video frames, which the user may be less likely to notice. Other embodiments vary the picture quality to reduce bandwidth utilization when required by varying the quality of video from external sources, where the quality is reduced by changing encoding parameters in the encoding/transcoding process.
In order to fully exploit these bandwidth allocation means, a class-based prioritization scheme is used. The class basis is established by giving priority to various components of information sent to the client. In some embodiments, the classes are as below; listed in order of priority, from highest priority to lowest priority:
In some embodiments, the system provides a “holistic” approach to mitigating problems in one layer (e.g., a layer of the OSI model) by changing behavior of another layer. For example, if the system (e.g., a server located at a cable television headend) detects bandwidth constraints on the data link layer, it mitigates this by manipulating packets on the transport layer by changing transmission timing or by modifying the on-screen presentation by postponing UI updates or reducing frame rates. The system can do this because the system spans almost all layers.
In some embodiments, the system is also aware of the actual program type and can dynamically alter the priorities described above, possibly even reversing them. For example, video frames may be dropped to give user-interface elements priority to pass based on the knowledge that in this particular content, the user is expecting the UI graphics to appear and will not notice the dropped video frames (e.g., because the video is in a reduced size and not the focus of the user's attention). The priorities of video and user-interface elements thus may be reversed.
These three bandwidth mitigation techniques, combined with a flexible, class-based prioritization scheme, provide the ability to optimally control a digital-media multiplexing system.
The systems and methods described herein address (i) low session count on QAM (i.e., on a QAM channel), (ii) unused bandwidth, (iii) latency and non-smooth animations. Other problems addressed are if requested bandwidth temporarily exceeds available bandwidth, deferring bits could cause unpleasant user experiences, particularly connection loss, audio dropouts, and loss of video synchronization or uneven playback speed. By prioritizing these classes of bits, continuity can be guaranteed at the expense of only occasional increase in UI latency.
In addition, some embodiments described herein provide the following functionality:
This flexible and dynamic bandwidth allocation allows for combining (multiplexing) streams that have variable bit rate requirements with a high peak-to-average ratio. Traditionally on a cable network, a CBR session is allocated on a QAM to guarantee sufficient quality of service. The bandwidth allocated is either set high, resulting in a large amount of unused bandwidth, or set low, resulting in higher latency and a non-smooth user experience. Other advantages of this flexible and dynamic bandwidth allocation include increased session count on QAM transport streams; less unused bandwidth, better (lower) latency, better animation smoothness, and the ability to trade off some quality for even higher session count.
In intelligent multiplexing (i-muxing), multiple user sessions share a set amount of bandwidth available to the i-mux group. The allocation occurs per frame time (e.g., 33 msec or 40 msec). If, during a frame time, the total sum of requested bandwidth for all sessions exceeds the available bandwidth of the i-mux group, the bit budget is allocated among the sessions and certain bits are deferred. Different classes of bits are allocated according to different priorities in the following order: (i) basic transport stream control and audio, (ii) video or partial-screen video, (iii) UI updates, and (iv) intra-refresh of video frames. (This list corresponds to the above list of five priority classes, except that bits for basic transport stream control and for audio are combined into a single highest-priority class.) The prioritizing of bits takes place while still generating a compliant MPEG transport stream for each session. Accordingly, the systems and methods described herein categorize bits into different classes, provide class-based allocation and, in case of delayed bits, create “filler slices” to maintain MPEG compliancy and provide feedback to the user-interface rendering engine to defer UI updates if necessary.
The following sections will explain how class-based, intelligent multiplexing is performed in cable television systems that use Switched Digital Video, Video-On-Demand (VOD), or interactive television services and simultaneously optimizes video quality and minimizes response time of interactive service over the same managed network of the cable plant while maintaining a standards-compliant transport stream suitable for decoding by the cable TV set-tops (e.g., set-top boxes) connected to the system.
Throughout the scenarios depicted in
A time-flow diagram of class-based allocation is shown in
For comparison,
Conversely,
Finally,
To help illustrate the interaction between the elements of the server and relationship between the server elements and the client device without regard to specific elements of the communications network (i.e., of the distribution network),
Another source of audio-visual information that produces output in response to the consumer interaction at the client device 1010 with the remote application server 1000 is by MPEG encoder 1004, which encodes or re-encodes full-motion video from a plurality of sources such as Internet videos (e.g., from a service such as YouTube) or video servers associated with the cable television system that hosts the application server 1000. Yet another source of full-motion video comes from content source 1011 that might come from an Internet-based video service or website featuring video clips (e.g., YouTube) or other service (e.g., Netflix) which provides long-form content such as feature films.
Most Internet video sources do not produce video streams that are in an encoded-video format compatible with cable television digital set-top boxes, and, therefore, the server system may transcode the video from the native format of the content source 1011 to MPEG-compatible format compatible with the client device 1010. An additional benefit of the application server platform 1000 is the ability to mix video and graphics information in many combinations of overlays as well as picture-in-picture windows, among many other options. This combination of resources can be programmatically determined by the application engine 1001, which outputs a single MPEG stream representing the composite audio-video information that is streamed to the client device 1010. In other embodiments, full-motion, full screen video from either MPEG encoder 1004 or content source 1011 is sent to the Client 1010, and user-interface controls (e.g., digital video recorder (DVR) controls to play, stop, fast-forward, etc.) are sent to client 1010 by the bitmap encoder 1003 to be rendered by bitmap decoder 1007 and displayed as an overlay of the full-screen video as rendered by MPEG decoder 1008.
The client (e.g., client device 1010) and the server (e.g., application server platform 1000) are, in cable television systems, separated by a managed digital network that uses well-known digital video transport protocols such as the Society of Cable Telecommunications Engineers' Service Multiplex and Transport Subsystem Standard for Cable Television (SMTS) for United Stated cable TV or DVB-C for most international cable systems. In this instance, ‘managed’ means that bandwidth resources for providing these services may be reserved prior to use. Once resources are allocated, the bandwidth is generally guaranteed to be available, and the viewer is assured of receiving a high-quality interactive television viewing experience. When configured properly, class-based intelligent multiplexing provides consistent delivery such that the user generally cannot tell that the interactive television application is being executed on a remote server and is not, in fact, executing in the set-top box, smart TV or whatever client device is displaying the resulting audio-video information.
The systems and methods for intelligent multiplexing described herein allow high-quality interactive television applications to be offered to client devices, and thus to the consumer, from a central location (e.g., the cable television headend) in place of interactive applications that run on the client device (e.g., in the consumer's home). Intelligent multiplexing thus provides interactive television applications to consumers through client devices that are not running dedicated ITV client applications 1207.
The session resource manager 1108 advantageously assigns dedicated user sessions from the headend 1105 to client devices 1107 using the managed network of the cable television system.
The timing of compositor 1103 is controlled by means of a global frame-time clock 1104, which maintains a cadence that coordinates the combination of video, audio, and user-interface graphical elements such that as smooth as possible playback occurs on the client device 1107.
To perform statistical multiplexing, groups of streams that can share bandwidth are identified. (In this document, bandwidth means bits per second, not hertz). In existing cable television distribution systems employing switched digital video (SDV) and video-on-demand (VOD) services, multiple user sessions already share a common resource, which is the digital video Transport Stream (MPEG Transport) usually transmitted via a quadrature-amplitude modulated (QAM) carrier which is modulated into a six megahertz bandwidth slot (i.e., channel) in place of the older analog television signal of NTSC or an eight megahertz bandwidth slot (i.e., channel) in place of the older SECAM or PAL television signals. It is therefore logical to choose the Transport Stream on a QAM (or frequency-QAM pair) as the group within which class-based intelligent multiplexing (“i-muxing”) is performed.
When allocating resources for a switched video session of any type, the digital information is routed to one or more specific QAM modulators 1106 serving the neighborhood that services the subscriber requesting the service. The resulting set of QAM-modulated transport streams may already carry allocations for other i-mux sessions. To have maximum benefit from intelligent multiplexing, multiple sessions should be allocated to a single QAM modulator until its bandwidth is fully allocated following the vertical allocation strategy, called QAM affinity, illustrated in
Managing Groups of Interactive Television and VOD Sessions Utilizing QAM Affinity
QAM affinity is a process by which each multiplex group is filled, as much as possible, before additional multiplex groups are utilized. QAM affinity is the converse of linear (or non-interactive) video services where QAM loading is spread out among available modulators as evenly as possible. In addition, all sessions in a statistical multiplexing group will be served by the same i-mux process. QAM affinity is performed instead of allowing sessions to be load-balanced in an arbitrary fashion: if an intelligent multiplexer (i-mux) is already muxing a stream onto a given QAM channel, then a next session on that same QAM channel should be allocated to the same i-mux so that bandwidth can be shared between the sessions and the merits of intelligent multiplexing can be enjoyed. Additionally, it is beneficial in some cases to group sessions on the same service area on the same i-mux such that the i-mux controller can allocate bandwidth across multiple mux channels into a single neighborhood.
It is then determined (1304) whether there is capacity available on the existing (or newly assigned) QAM modulator for another session. If capacity is available (1304-Yes), then the ITV or VOD session is assigned (1306) to that QAM modulator. The determination 1304 and subsequent assignment 1306 keeps sessions for a particular service area grouped on the same QAM channel as much as possible. If capacity is not available (1304-No), then an available RF channel is found (1305) and a corresponding QAM modulator is assigned (1305) to the client service area. The ITV or VOD session is then assigned (1306) to the QAM modulator. Resource classes for the ITV or VOD session are assigned in a class management table (1307), and the method of
As defined above, there are two methods to allocate resources to a QAM-modulated channel: vertically (e.g., as in the method of
A vertical allocation strategy results in more opportunity for statistical multiplexing using class-based allocation: in the horizontal-allocation strategy example each QAM channel has only two sessions. The drawback of vertical allocation is that QAM channels are not equally loaded, and should a fully loaded QAM channel develop a fault and cease operating, more sessions are affected than in the horizontal allocation case. For ordinary television broadcasts, a failed QAM channel impacts many end-users and an operator may choose to have redundant QAM modulators allocated via automatic failover; however, for unicast (one-to-one) interactive sessions, a failed QAM impacts far fewer end-users and redundancy is less important. The improved quality and efficiency benefits of vertical allocation outweigh the drawbacks of reduced redundancy.
In some embodiments, from a high-level view, intelligent multiplexing includes the following functions:
The compositor, via communications with a session resource manager, creates and manages groups. In some embodiments, the compositor has the following capabilities:
Furthermore, when configuring a session, an optional group identifier can be passed to signal the application of intelligent multiplexing. If the group identifier is not present, intelligent multiplexing is not performed. The bit allocation of the compositor continues to respect the individual stream's bandwidth; when multiplexing the streams at the output of the compositor, the aggregated bandwidth allocated to the group of sessions (if present) is respected as well, Screen updates are delayed that do not fit in the session's bit budget or in the group bit budget, where an update gets a priority that increases with waiting time.
Alternative behaviors to mitigate bandwidth constraints could be to select a representation of the same content with fewer bits:
Furthermore, the server system can configure the average bit rate (as opposed to ‘base’ amount) and add a headroom (or reserve) amount that decreases as the number of sessions grows. The more sessions there are, the better the i-mux is able to make use of the multiple channels' fungible bandwidth so the need for additional headroom gradually decreases. The advantage to this approach is that as the QAM channel is nearing full capacity, the headroom is almost zero, thus maximizing the QAM usage.
For the streaming GUI use case (i.e., a user application operating from a location remote from the user) the bandwidth requested for a session depends on the application that is executed. Furthermore, this bandwidth is requested in advance. Since multiple sessions share a part of the bandwidth, less bandwidth is reserved than the expected nominal application bandwidth. If for example the application has been designed for a maximum video stream density requiring 8 Mbps, then the system typically reserves only 2 Mbps or a “base amount”. Therefore, 6 Mbps of additional bandwidth is considered “headroom” and needs to be reserved separately, to ensure that the necessary bandwidth is always available. Therefore, the following steps are typically taken:
Once the base amount and headroom are defined, the application stays within the base amount plus headroom to accommodate worst-case situations. (For some applications the base amount would fluctuate depending on number of video titles available.) This aspect is not different from the non-intelligent-muxing use case. However, what is different is that when more sessions are added to the group, the headroom is shared among more sessions and the probability of undesirable congestion due to insufficient aggregate bandwidth increases. So with intelligent multiplexing, if an interactive session is the only one, then the application may respond quickly. Correspondingly, when more sessions are added, the latency imposed on the interactive session may increase. If that occurs, then the base amount and headroom could be increased.
In a further refinement, the headroom for a multiplex channel can be allocated as a whole, or it can be allocated as blocks (e.g., of one Mbps) to allow headroom to be gradually reduced as described above, to allow different headroom sizes to be used as different application mixes are used on the same QAM channel; each application has its own characterization in terms of base & headroom, or average bit rate & max bit rate.
The i-mux bit rate allocation works on two time domains. The first is per-frame: it must stay within the group bandwidth, and will do this by delaying UI updates or dropping frames. The second time domain is a feedback loop that requests more bandwidth for a group, rejects new sessions, or refuses requests from applications to play video (and indicates to the application that video is being refused so that the application can display a user-friendly message). The second-time-domain feedback loop is an algorithm that uses inputs such as needed vs. obtained bandwidth, measurement of latency due to i-muxing (for example as a histogram), frame drop rate, and other metrics. These inputs lead allow the i-mux to automatically increase or decrease an i-mux group bandwidth. In the absence of such an algorithm, the application could indicate to the i-mux that it requires more bandwidth, which the i-mux will then request from the Session Resource Manager (SRM) 1108 of
An aggregate multiplexed load for the first time domain is computed (1400), The aggregate multiplexed load is compared to the available channel bandwidth to determine (1402) whether an overflow condition has occurred. If an overflow condition has not occurred (1402-No), feedback of state information is performed for the second time domain and the computation 1400 is repeated. If an overflow condition has occurred (1402-Yes), the server system requests (1403) additional bandwidth from the cable system for a potentially over-subscribed multiplex stream. If additional bandwidth is available (1404-Yes), the overhead calculation is adjusted (1406) to account for the additional bandwidth, and execution of the method transitions to element 1401. If additional bandwidth is not available (1404-no), additional sessions are refused (1405), such that no additional sections can be added to the i-mux group. In some embodiments, existing session are informed that bit sacrifices to one or more sessions will be necessary (e.g., are instructed to sacrifice bits), in response to the lack of availability of additional bandwidth (1404-no).
Class-Based Allocation
The transport stream bits cannot be delayed or dropped as the transport information provides the necessary support information, such as access control and critical timing signals among many other duties. Hence, it is assumed that the transport stream is provided with the bandwidth required.
Similarly, audio should not be interrupted as humans react poorly to disrupted audio, much more so than disrupted video. Hence, several strategies are employed to maintain smooth audio flow. In general, audio gets priority over video but should the need arise, audio can be sent ahead in blocks to an audio buffer of the client device and played out from the client audio buffer in timestamp-directed coordination with its respective video stream. Unlike conventional systems, the system described herein sends audio ahead to make room for oversize graphical elements of a user interface.
Video has the third priority, with the understanding that excessive compression of video is generally undesirable. Video bit-rate is generally reduced by conventional systems by raising the quantization level of the compression means (of, e.g. MPEG2 or H.264/5). The invention seeks to avoid the visual degradation of the system and will instead first seek to sparingly drop video frames. Especially in the case of video in a window of an interactive application, the means of substituting video frames with null frames provides an effective means to control video bandwidth.
The user interface graphics have the next priority after video. As these elements are generally not moving or are moving slowly, the delivery may be delayed briefly when congestion in the channel is eminent. However, the decision logic of the intelligent multiplex can be programmatically informed of the nature of the interactive application and can choose to raise the priority of the user interface graphics in the event that the video associated with the application is less important that the prompt appearance of a user interface element such as a menu appearing when a user clicks a button on the remote or clicks a virtual button displayed on the screen. A ready example would be a television program guide displaying many video windows of different television channels. When a user elects to interact with a menu, signaled by the button press, that person's attention is not likely on the various video windows. Hence, video frames can be dropped to make way for graphical elements of the interface without the user noticing the difference in the video picture, which is predictable especially for video in a window within a larger user interface application.
The aggregate bandwidth of the next data frame is computed (1502). If the aggregate bandwidth is within the bit budget (1503-Yes), no action is taken and the method returns to operation 1502 for a subsequent data frame. If the aggregate bandwidth is not within the bit budget (1503-No), all priority-6 packets (i.e., with error-correction information) are dropped. If this action drops the aggregate bandwidth to within the bit budget (1505-yes), no further action is taken and the method returns to operation 1502 for a subsequent data frame. If, however, the aggregate bandwidth is still not within the bit budget (1505-no), individual streams are groomed until the aggregate bandwidth is within the bit budget (1507-yes), at which point the method returns to operation 1502 for a subsequent data frame. Grooming of an individual stream is performed in the method of
If the stream is video (i.e., corresponds to a video frame) (1606-Yes), it is determined (1607) whether a count of previously dropped video frames satisfies (e.g., is greater than, or greater than or equal to) a minimum count. If not (1607-No), a type-4 packet is dropped (1608) to free up bandwidth for the multiplex group. Grooming then begins (1602) for another stream. If so (1607-Yes), it is decided (1609) whether to adjust the quantization level of the video. If so (1609-Yes), the quantization level is raised (1610), thus lowering the video quality and freeing bandwidth for the multiplex group. If not (1609-No), then processing continues (1612) for other sessions, and thus for other streams in the multiplex group.
If the stream is audio (1611-yes), one or more type-2 (i.e., audio) packets may be sent ahead (1614) to be to be queued at the client device before being played. If this and all other options have been exhausted (1613-yes), however, then one or more type-2 (i.e., audio) packets are dropped (1615) and an overflow alarm issues (1616).
The functionality described herein may be embodied in many different forms, including, but in no way limited to, computer program logic for use with a processor (e.g., a microprocessor, microcontroller, digital signal processor, or general purpose computer), programmable logic for use with a programmable logic device (e.g., a Field Programmable Gate Array (FPGA) or other PLD), discrete components, integrated circuitry (e.g., an Application Specific Integrated Circuit (ASIC)), or any other means including any combination thereof
Computer program logic implementing all or part of the functionality previously described herein may be embodied in various forms, including, but in no way limited to, a source code form, a computer executable form, and various intermediate forms (e.g., forms generated by an assembler, compiler, linker, or locator). Source code may include a series of computer program instructions implemented in any of various programming languages (e.g., an object code, an assembly language, or a high-level language such as Fortran, C, C++, JAVA, or HTML) for use with various operating systems or operating environments. The source code may define and use various data structures and communication messages. The source code may be in a computer executable form (e.g., via an interpreter), or the source code may be converted (e.g., via a translator, assembler, or compiler) into a computer executable form.
The computer program may be fixed in any form (e.g., source code form, computer executable form, or an intermediate form) either permanently or transitorily in a tangible storage medium, such as a semiconductor memory device (e.g., a RAM, ROM, PROM, EEPROM, or Flash-Programmable RAM), a magnetic memory device (e.g., a diskette or fixed disk), an optical memory device (e.g., a CD-ROM), a PC card (e.g., PCMCIA card), or other memory device. The computer program may be fixed in any form in a signal that is transmittable to a computer using any of various communication technologies, including, but in no way limited to, analog technologies, digital technologies, optical technologies, wireless technologies (e.g., Bluetooth), networking technologies, and internetworking technologies. The computer program may be distributed in any form as a removable storage medium with accompanying printed or electronic documentation (e.g., shrink wrapped software), preloaded with a computer system (e.g., on system ROM or fixed disk), or distributed from a server or electronic bulletin board over the communication system (e.g., the Internet or World Wide Web).
Hardware logic (including programmable logic for use with a programmable logic device) implementing all or part of the functionality previously described herein may be designed using traditional manual methods, or may be designed, captured, simulated, or documented electronically using various tools, such as Computer Aided Design (CAD), a hardware description language (e.g., VHDL or AHDL), or a PLD programming language (e.g., PALASM, ABEL, or CUPL).
Programmable logic may be fixed either permanently or transitorily in a tangible storage medium, such as a semiconductor memory device (e.g., a RAM, ROM, PROM, EEPROM, or Flash-Programmable RAM), a magnetic memory device (e.g., a diskette or fixed disk), an optical memory device (e.g., a CD-ROM), or other memory device. The programmable logic may be fixed in a signal that is transmittable to a computer using any of various communication technologies, including, but in no way limited to, analog technologies, digital technologies, optical technologies, wireless technologies (e.g., Bluetooth), networking technologies, and internetworking technologies. The programmable logic may be distributed as a removable storage medium with accompanying printed or electronic documentation (e.g., shrink wrapped software), preloaded with a computer system (e.g., on system ROM or fixed disk), or distributed from a server or electronic bulletin board over the communication system (e.g., the Internet or World Wide Web).
The foregoing description, for purpose of explanation, has been described with reference to specific embodiments. However, the illustrative discussions above are not intended to be exhaustive or to limit the scope of the claims to the precise forms disclosed. Many modifications and variations are possible in view of the above teachings. The embodiments were chosen in order to best explain the principles underlying the claims and their practical applications, to thereby enable others skilled in the art to best use the embodiments with various modifications as are suited to the particular uses contemplated.
This application claims priority to U.S. Provisional Patent Application No. 61/984,697, titled “Intelligent Multiplexing Using Class-Based, Multi-Dimensioned Decision Logic for Managed and Unmanaged Networks,” filed Apr. 25, 2014, which is incorporated by reference herein in its entirety.
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WO 2012138660 | Oct 2012 | WO |
WO 2013106390 | Jul 2013 | WO |
WO 2013155310 | Jul 2013 | WO |
WO2013184604 | Dec 2013 | WO |
Entry |
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Number | Date | Country | |
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20150312599 A1 | Oct 2015 | US |
Number | Date | Country | |
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61984697 | Apr 2014 | US |