Method and device for determining a jitter buffer level

Abstract

A buffer level for jitter data buffer is determined. A frame payload size difference is determined for a plurality of video frames encoded into data packets sequentially received from a network. The difference is a difference in a payload size of a current frame and a previous frame. A frame network transit delay is determined as a difference in a transport time between the current frame and the previous frame and an expected transport time between the current frame and the previous frame. A slope and a variance of a linear relationship between the frame payload size difference and the frame network transit delay are determined for the plurality of video frames. Finally, a buffer level of a jitter data buffer is determined using a maximum frame payload size, an average frame payload size, the slope and the variance.

Description

TECHNICAL FIELD

The present disclosure generally relates to electrical telecommunication and more particularly to data packet delivery in networks using the Internet protocol (IP).

BACKGROUND

In a video-over-IP system, each image, or frame, may be encoded into one or several data packets that are sent with minimal delay (“back-to-back”) to the IP network. The frames are usually produced at a constant frame rate, wherefore the packet clusters are sent at the same constant rate. On the receiver side the packets arrive with a variable delay. This delay is mainly due to the delays inflicted by the IP network and is often referred to as jitter. The severity of the jitter can vary significantly depending on network type and current network conditions. For example, the variance of the packet delay can change with several orders of magnitude from one network type to another, or even from one time to another on the same network path.

In order to reproduce a video stream that is true to the original that was transmitted from the source(s), the decoder (or receiver) must be provided with data packet clusters at the same constant rate with which the data packet clusters were sent. A device often referred to as a jitter buffer may be introduced in the receiver. The jitter buffer may be capable of de-jittering the incoming stream of packets and providing a constant flow of data to the decoder. This is done by holding the packets in a buffer, thus introducing delay, so that also the packets that were subject to larger delays will have arrived before their respective time-of-use.

There is an inevitable trade-off in jitter-buffers between buffer delay on the one hand and distortions due to late arrivals on the other hand. A lower buffer level, and thus a shorter delay, generally results in a larger portion of packets arriving late or even being discarded, as the packets may be considered as being too late, while a higher buffer level, and thus a longer delay, is generally detrimental in itself for two-way communication between, e.g., humans.

BRIEF SUMMARY

It is with respect to the above considerations and others that the present invention has been made. In particular, the inventors have realized that it would be desirable to achieve a method for determining a buffer level of a jitter data buffer comprised in a receiver adapted to sequentially receive data packets from a communications network, wherein frames are encoded into the data packets, which method is capable of determining the appropriate buffer level in various network conditions. Furthermore, the inventors have realized that it would be desirable to determine the buffer level of a jitter data buffer on the basis of a first part of frame arrival delay related to payload size variation between frames and a second part related to the amount of crosstraffic in the communications network.

To better address one or more of these concerns, a method and a receiver having the features defined in the independent claims are provided. Further advantageous embodiments of the present invention are defined in the dependent claims.

According to a first aspect of the present invention, there is provided a method for determining a buffer level of a jitter data buffer comprised in a receiver adapted to sequentially receive data packets from a communications network, wherein frames are encoded into the data packets, each frame comprising timestamp information T and payload size information L. The buffer level is determined on the basis of a first part of frame arrival delay related to payload size variation between frames and a second part related to the amount of crosstraffic in the communications network. The method may comprise, for each frame, determining a frame pay-load size difference ΔL by comparing L of the current frame with L of a previous frame, determining a frame inter-arrival time Δt by comparing the measured arrival time of the current frame with the measured arrival time of a previous frame, determining a temporal frame spacing ΔT by comparing T of the current frame with T of a previous frame, and/or determining a frame network transit delay d on the basis of the difference between Δt and ΔT. The method may comprise, for each frame, estimating a set of parameters of a linear relationship between ΔL and d on the basis of ΔL and d for the current frame and ΔL and d determined for at least one previous frame. A first parameter and a second parameter comprised in the set may be adapted to be indicative of the first and second part, respectively. The method may comprise, for each frame, estimating a maximum frame payload size and an average frame payload size on the basis of L of the current frame and L of at least one previous frame. For each frame, the buffer level may be determined on the basis of the maximum frame payload size, the average frame payload size and the parameters of the linear relationship.

Such a configuration enables the determination of an appropriate buffer level of the jitter buffer in various network conditions, by determining the buffer level on the basis of statistical measures of current network conditions. In this manner, both frame arrival delay related to payload size variation between frames (‘self-inflicted’ frame arrival delay) and a frame arrival delay related to the amount of crosstraffic in the communications network may be taken into account in the determination of the buffer level. This is generally not the case in known devices and methods.

By the separation of the packet delay contributions into self-inflicted and cross-traffic delays, an improved adaptability to varying network conditions may be obtained. For instance, consider a typical situation where a majority of the frames are roughly equal in size (i.e. having a roughly equal payload size), while few frames are relatively large (e.g. in comparison with the majority of frames). Conventionally, only the frame inter-arrival time is considered in the procedure of setting the buffer level. In such a case, only the few packets that result in the largest inter-arrival time would provide any useful information for the procedure of setting the buffer level. In contrast, according to embodiments of the present invention, all of the frames encoded in the arriving packets in general contributes with information that may be utilized for estimating the set of parameters of a linear relationship between ΔL and d. In this manner, an improved accuracy and an increased adaptability with regards to varying network conditions may be achieved.

According to a second aspect of the present invention, there is provided a receiver adapted to sequentially receive data packets from a communications network. Frames are encoded into the data packets, each frame comprising timestamp information T and payload size information L. The receiver may comprise a jitter data buffer and a processing unit adapted to determine a buffer level of the jitter data buffer on the basis of a first part of frame arrival delay related to payload size variation between frames and a second part related to the amount of cross-traffic in the communications network. The receiver may comprise a time measuring unit adapted to measure the arrival time of each frame. The receiver, or the processing unit, may be adapted to, for each frame, determine a frame payload size difference ΔL by comparing L of the current frame with L of a previous frame, determine a frame inter-arrival time Δt by comparing the measured arrival time of the current frame with the measured arrival time of a previous frame, determine a temporal frame spacing ΔT by comparing T of the current frame with T of a previous frame, and/or determine a frame network transit delay d on the basis of the difference between Δt and ΔT. The receiver, or the processing unit, may be adapted to, for each frame, estimate a set of parameters of a linear relationship between ΔL and d on the basis of ΔL and d for the current frame and ΔL and d determined for at least one previous frame. A first parameter and a second parameter comprised in the set are indicative of the first and second part, respectively. The receiver, or the processing unit, may be adapted to, for each frame, estimate a maximum frame payload size and an average frame payload size on the basis of L of the current frame and L of at least one previous frame. For each frame, the buffer level may be determined on the basis of the maximum frame payload size, the average frame payload size and the parameters of the linear relationship.

By such a receiver, or decoder, there may be provided a receiver (or decoder) adapted to sequentially receive data packets from a communications network, which receiver (or decoder) may achieve the same or similar advantages achieved by the method according to the first aspect of the present invention.

According to a third aspect of the present invention, there is provided a computer program product adapted to, when executed in a processor unit, perform a method according to the first aspect of the present invention or any embodiment thereof.

According to a fourth aspect of the present invention, there is provided a computer-readable storage medium on which there is stored a computer program product adapted to, when executed in a processor unit, perform a method according to the first aspect of the present invention or any embodiment thereof.

Such a processing unit, or microprocessor, may for example be comprised in a receiver, or decoder, according to the second aspect of the present invention. Alternatively, or optionally, such processing unit or microprocessor may be arranged externally in relation to the receiver or decoder, with the processing unit or microprocessor being electrically connected to the receiver or decoder.

The first and second parameters may for example comprise a slope and a variance.

The estimation of the parameters of a linear relationship between between ΔL and d may for example be performed by means of an adaptive filter algorithm, such as adaptive linear regression, recursive least-squares estimation, a Kalman filter, etc. Such adaptive filter algorithms may be used in different combinations. By utilizing one or more adaptive filter algorithms, the accuracy of the estimation of the linear relationship between between ΔL and d may be refined by the choice of the adaptive filter algorithm(s) and/or the model parameters of the respective adaptive filter algorithm. For example, the adaptive filter algorithm(s) may be selected and/or the parameters thereof may be modified on the basis of user, capacity and/or application requirements.

There may be determined whether the absolute value of a difference between d for the current frame and at least one of the first part of frame arrival delay, related to payload size variation between frames, for respective previous frames exceeds a predetermined threshold value.

In other words, a so called “sanity” check, or extreme outlier identification, can be made on the measurements (e.g. frame payload sizes, arrival time differences) prior to performing an estimation of a set of parameters of a linear relationship between ΔL and d. In this manner, the effect of undesired, spurious events in the data packet delivery in the communication network may be avoided or mitigated.

An indication of a discontinuous change in a parameter of the communications network may be sensed. The parameter may be indicative of traffic conditions of the communications network.

In other words, so called change detection may be performed to assess whether a discontinuous, or abrupt, change has occurred in traffic conditions of the communications network. Such change detection may be performed in various manners, for example in accordance with user, capacity and/or application requirements. For example, change detection may be performed by means of a CUSUM test.

In case an indication of a discontinuous change in the parameter is sensed, at least one model parameter used in the estimation of the parameters of a linear relationship between ΔL and d may be reset. In this manner, re-convergence of the process of estimating a set of parameters of a linear relationship between ΔL and d for the new network conditions may be facilitated.

The at least one model parameter may for example comprise a Kalman covariance matrix, a noise estimate, etc., depending on implementation details.

There may be determined, on the basis of T of the current frame and T of the previous frame, whether the previous frame was transmitted earlier with regards to transmission order compared to the current frame. In other words, it may be checked whether the current frame has suffered from re-ordering. In this case, the processing of the current frame may be stopped and discarded. Subsequently, the receiver may await the arrival of the next frame for processing thereof.

According to another aspect of the teachings herein, a method includes determining a frame payload size difference for a plurality of video frames encoded into data packets sequentially received from a communications network, wherein a frame payload size difference is a difference in a payload size of a current frame and a payload size of a previous frame, determining a frame network transit delay for the plurality of video frames, wherein the frame network transit delay is a difference in a transport time between the current frame and the previous frame and an expected transport time between the current frame and the previous frame, determining a slope and a variance of a linear relationship between the frame payload size difference and the frame network transit delay for the plurality of video frames, and determining a buffer level of a jitter data buffer using a maximum frame payload size, an average frame payload size, the slope and the variance.

According to another aspect of the teachings herein, an apparatus includes memory and a processing unit. The processing unit is configured to execute instructions stored in the memory to determine a frame payload size difference for a plurality of video frames encoded into data packets sequentially received from a communications network, wherein a frame payload size difference is a difference in a payload size of a current frame and a payload size of a previous frame, determine a frame network transit delay for the plurality of video frames, wherein the frame network transit delay is a difference in a transport time between the current frame and the previous frame and an expected transport time between the current frame and the previous frame, determine a slope and a variance of a linear relationship between the frame payload size difference and the frame network transit delay for the plurality of video frames, and determine a buffer level of a jitter data buffer using a maximum frame payload size, an average frame payload size, the slope and the variance, the jitter data buffer located in the memory.

Further objects and advantages of the present invention are described in the following by means of exemplifying embodiments.

BRIEF DESCRIPTION OF THE DRAWINGS

Exemplifying embodiments of the present invention will be described in the following with reference to the other accompanying drawings, in which:

FIG. 1 is a schematic exemplifying graph of the frame network transit delay d versus the frame payload size difference ΔL;

FIG. 2A is a schematic view of a receiver according to an exemplifying embodiment of the present invention;

FIG. 2B is a schematic view of a frame in accordance with an exemplifying embodiment of the present invention;

FIG. 3 is a schematic flow diagram of a method according to an exemplifying embodiment of the present invention; and

FIG. 4 are schematic views of different exemplifying types of computer readable digital storage mediums according to embodiments of the present invention.

In the accompanying drawings, the same reference numerals denote the same or similar elements throughout the views.

DETAILED DESCRIPTION

The present invention will now be described more fully hereinafter with reference to the accompanying drawings, in which exemplifying embodiments of the invention are shown. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided by way of example so that this disclosure will be thorough and complete, and fully convey the scope of the invention to those skilled in the art. Furthermore, like numbers refer to like or similar elements or components throughout. The steps of any method disclosed herein do not have to be performed in the exact order disclosed, unless explicitly stated.

According to the present invention, the transmission delay of a packet or cluster of packets may be considered to be made up of two independent parts: self-inflicted delay and cross-traffic delay. Because a large packet (i.e. having a large payload) generally takes a longer time to transmit over a network link with limited capacity compared to a smaller packet, the payload size variations from one image (or frame) to the next generally give rise to a payload-size dependent delay variation, which is referred to in the context of some embodiments of the present invention as self-inflicted delay. Any delays that arise because of other network traffic (cross-traffic) utilizing the links and queues of the network are referred to in the context of some embodiments of the present invention as the cross-traffic delay. To the receiver, the cross-traffic delay may appear as quasi-random and independent of the (video) traffic.

The present invention is based on separating the packet delay contributions into self-inflicted and cross-traffic delays, estimating appropriate parameters describing the current conditions for the self-inflicted delay and the cross-traffic delay, and determining an appropriate jitter buffer level based on the estimates.

In a video-over-IP system, the encoder may operate on clusters of packets that make up each image. In the context of some embodiments of the present invention, such a group of packets is referred to as a ‘frame’. When the arrival of a frame is completed at the receiver, i.e. when all the packets included in the frame have arrived at the receiver, the arrival time may be determined. Comparing the arrival time with the arrival time of a previously received frame provides a frame inter-arrival time Δt.

In general, each frame comprises some kind of timing information, or time-stamp information, that indicates the production time of the frame. Such timing information may for example comprise the timestamp field in a real-time transport protocol (RTP) header. Such timing information may provide a nominal temporal frame spacing between the present frame and a previously received frame, denoted ΔT. The nominal temporal frame spacing ΔT may for example comprise the time between capturing the two frames from a camera. By determining a difference between the actual inter-arrival time Δt and the nominal temporal frame spacing ΔT a deviation measure, or a frame network transit delay, d for the currently received frame may be obtained. For example, d=Δt−ΔT.

In general, each frame comprises payload size information L. The difference ΔL between the payload size between the currently received frame and a previously received frame may be determined.

The self-inflicted delay and the cross-traffic delay described in the foregoing may be described as a part of d that can be attributed to ΔL and a part that generally cannot be attributed to ΔL. Namely, in case of a relatively large value of ΔL, the current frame is larger than the previous frame, and the current frame may generally be expected to be later than the previous frame. This would result in an increased Δt, resulting in a larger value of d. On the other hand, the cross-traffic related delay generally affects Δt in ways that are difficult to correlate with ΔL.

On receiving the complete frame with frame number k, the frame delay d(k)=Δt(k)−ΔT(k)=t(k)−t(k−1)−(T(k)−T(k−1)) may be calculated. The payload size difference is denoted ΔL (k)=L(k)−L(k−1). The differential frame delay, or frame network transit delay, may be assumed to follow the model:d(k)=A+BΔL(k)+w(k),where w(k) represents the cross-traffic related delay. It may be assumed that w(k), k=0, 1, 2, . . . is a sequence of independent realizations of a zero-mean stochastic variable with variance σ². Hence, the relation between d(k) and ΔL may be represented by a straight line with offset A and slope B, with a scattering around the line determined by σ².

In view of the foregoing description and with reference to FIG. 1, in FIG. 1 there is shown a schematic exemplifying straight line and scatter plot of the frame network transit delay d versus the frame payload size difference ΔL. The quantities d and ΔL may for example be given in units of ms and bytes, respectively.

Given estimates of the parameters A, B and σ², respectively, and knowledge of the largest expected ΔL, the worst case frame inter-arrival time may be estimated. On the basis of this worst case frame inter-arrival time a size of the jitter buffer may be set that mitigates the jitter.

In view of the above, an embodiment of the present invention may comprise collecting measurements of d(k) and ΔL(k) for a number of frames k, estimating parameters A, B, and σ², storing or estimating the largest expected frame size difference ΔL, and determining a jitter buffer level based on the estimates.

Referring now to FIG. 2A, there is shown a schematic view of a receiver 200 according to an exemplifying embodiment of the present invention. The receiver 200 is communicating in a wireless manner with a communications network 202 via an air interface 201. The receiver comprises a data jitter buffer 203. The receiver may comprise a time-measuring unit 204 and a processing unit 205.

The communication between the receiver 200 and the communications network 202 may be performed in a non-wired (e.g. by means of wireless radiowave communications) or a wired (e.g. by means of electrical conductors or optical fibers or the like) fashion.

Referring now to FIG. 2B, the receiver 200 may be adapted to sequentially receive data packets from the communications network 202, wherein frames 206 are encoded into the data packets, each frame 206 comprising timestamp information T 206a and payload size information L 206b. Each frame 206 may alternatively or optionally comprise additional information. According to an embodiment of the present invention, the buffer level of the data jitter buffer 203 is determined on the basis of a first part of frame arrival delay related to payload size variation between frames and a second part related to the amount of crosstraffic in the communications network 202.

Optionally, or alternatively, the receiver 200 may comprise a sensing unit 207, which may be adapted to sense an indication of a discontinuous change in a parameter of the communications network 202. This parameter may for example be indicative of traffic conditions in the communications network 202.

Referring now to FIG. 3, there is shown a schematic flow diagram of a method 300 according to an exemplifying embodiment of the present invention. With reference to FIGS. 2A and 2B, a receiver 200 may be adapted to sequentially receive data packets from a communications network 202. The data packets may be such that frames 206 are encoded in the data packets.

Referring now again to FIG. 3, at step 301 a frame payload size difference ΔL may be determined for each frame by comparing L of the current frame with L of a previous frame.

At step 302, a frame inter-arrival time Δt may be determined by comparing the measured arrival time of the current frame with the measured arrival time of a previous frame.

At step 303, a temporal frame spacing ΔT may be determined by comparing T of the current frame with T of a previous frame.

At step 304, a frame network transit delay d may be determined on the basis of the difference between Δt and ΔT.

The method 300 may further comprise, for each frame, in step 305 estimating a set of parameters of a linear relationship between ΔL and d on the basis of ΔL and d for the current frame and ΔL and d determined for at least one previous frame. With reference to FIGS. 2A and 2B, a first parameter and a second parameter comprised in the set may be adapted to be indicative of a first part of frame arrival delay related to payload size variation between frames 206 and a second part related to the amount of crosstraffic in the communications network 202.

The method 300 may further comprise, for each frame, in step 306 estimating a maximum frame payload size and an average frame payload size on the basis of L of the current frame and L of at least one previous frame.

The method 300 may further comprise, for each frame, a step 307 of determining the buffer level on the basis of the maximum frame payload size, the average frame payload size and the parameters of the linear relationship.

Optionally, the method 300 may comprise a step 308 comprising determining, on the basis of T of the current frame and T of the previous frame, whether the previous frame was transmitted earlier with regards to transmission order compared to the current frame.

Optionally, the method 300 may comprise a step 309 comprising determining whether the absolute value of a difference between d for the current frame and at least one of the first part of frame arrival delay, related to payload size variation between frames, for respective previous frames exceeds a predetermined threshold value.

Optionally, the method 300 may comprise a step 310 comprising sensing an indication of a discontinuous change in a parameter of the communications network. The parameter may for example be indicative of traffic conditions in the communications network. Optionally, if an indication of a discontinuous change in such a parameter has been sensed, at least one model parameter used in the estimation of the parameters of a linear relationship between ΔL and d may be reset (step 311).

In the following, a method according to an exemplifying embodiment of the present invention is described in some detail.

The method of the exemplifying embodiment can be described using three phases—inter-arrival delay calculation, parameter estimation and buffer level calculation—each phase being carried out at least once each time arrival of a frame is completed, i.e. when all the packets included in the frame have arrived at the receiver. Additionally, there may be a reset phase, carried out in the beginning of the method and also when otherwise found necessary. The phases are described in the following.

The following notation is used in the description in the following:

• F: The last received frame that is currently being processed.
• F_p: A previously processed frame.
• t: Arrival time for frame F (the time at which the arrival of the frame is completed at the receiver).
• t_p: Arrival time for frame F_p.
• T: Timestamp for frame F.
• T_p: Timestamp for frame F_p.
• L: Payload size (in the communications network) for frame F.
• L_p: Payload size (in the communications network) for frame F_p.
• L_avg(k): The k-th update of the estimated average payload size.
• φ: Filter factor for estimate L_avg; 0≦φ≦1.
• L_max(k): The k-th update of the estimated maximum payload size.
• ψ: Filter factor for estimate L_max; 0≦ψ≦1.
• C₁: Design parameter; C₁>0.
• C₂: Design parameter; C₂>0.
• σ²(k): The k-th update of the estimated noise variance.
• m(k): The k-th update of the estimated noise mean.
• D (k): The k-th update of the desired buffer level.
• A(k): The k-th update of the line offset.
• B(k): The k-th update of the line slope.
• M (k|k−1) and M(k|k): Predictor and measurement updates, respectively, of the Kalman filter covariance matrix.
• K(k): Kalman filter gain vector in the k-th iteration.
• Q: Kalman filter process noise covariance matrix.
• I: 2-by-2 identity matrix.Reset Phase I

At time index k=0, all parameters and variables may be reset to suitable initial values. What constitutes a suitable initialization may vary depending on current communications network conditions and application.

Inter-Arrival Delay Calculation

In case the current frame has suffered from re-ordering (in other words, if the current frame is earlier in (transmission-order) sequence than the last processed frame), the processing for the current frame may be stopped and the current frame may be discarded.

In other case, a nominal inter-arrival time is calculated using the timestamps of the current frame and a previously received frame:ΔT=T−T_p.The actual inter-arrival time is calculated:Δt=t−t_p.The frame network transit delay is calculated:d=Δt−ΔT.

All of these times and time periods may be adjusted in order to use the same time scale, e.g., milliseconds or sample periods.

Parameter Estimation

Another phase in the exemplifying method is to estimate the model parameters.

A frame size difference is calculated:ΔL=L−L_p.The average estimate for frame size is calculated:L_avg(k)=φL_avg(k−1)+(1φ)L. The estimate of the maximum frame size is calculated:L_max(k)=max{ψL_max(k−1); L}. An extreme outlier identification may then be performed. Letδ=d−(A(k−1)+B(k−1)ΔL).

In case |δ|≧C₁√{square root over (σ²(k−1))}, the current frame may be considered to be an extreme outlier.

Next, on one hand, if the current frame is not an extreme outlier:

Update average noise: m(k)=αm(k−1)+(1−α)δ.

Update noise variance: σ²(k)=ασ²(k−1)+(1−α)(δ−m(k))².

Update the estimates of A and B using, e.g., a Kalman filter iteration:

Covariance matrix predictor update:M(k|k−1)=M(k−1/k−1)+Q.Compute Kalman gain vector:

$K\left(k\right)=\frac{M\left(k❘k-1\right)\left[\begin{array}{c}\Delta L\\ 1\end{array}\right]}{f+\left[\begin{array}{cc}\Delta L& 1\end{array}\right]M\left(k❘k-1\right)\left[\begin{array}{c}\Delta L\\ 1\end{array}\right]}$ where the function ƒ may be:

$f=\left(300e^{-\frac{\Delta L}{L_{\max }\left(k\right)}}+1\right)\sqrt{{\sigma }^2\left(k\right)}.$

Update estimates of A and B:

$\left[\begin{array}{c}B\left(k\right)\\ A\left(k\right)\end{array}\right]=\left[\begin{array}{c}B\left(k-1\right)\\ A\left(k-1\right)\end{array}\right]+K\left(k\right)\left(d-A\left(k-1\right)+B\left(k-1\right)\Delta L\right).$

Calculate covariance matrix measurements:M(k|k)=(l−K(k)[ΔL 1])M(k|k−1).

On the other hand, if the current frame is an extreme outlier: Let s_δ be the sign function of δ, i.e.,

$s_{\delta }=\{\begin{array}{cc}-1,& \delta <0;\\ +1,& \delta \ge 0.\end{array}$ Calculate average noise: m(k)=αm(k−1)+(1−α)s_δC₁√{square root over (σ²(k−1))}.Calculate noise variance: σ²(k)=ασ²(k−1)+(1−α)(s_δC₁√{square root over (²(k−1))}−m(k))².Reset Phase II

Next, change detection may be performed in order to assess whether an abrupt change has occurred in the network. Change detection can be performed in many manners, for example by utilizing a CUSUM test. In case an abrupt change is detected, a suitable set of variables may be reset. For instance, the Kalman covariance matrix M(k|k) can be reset to its initial (large) value in order to facilitate a rapid re-convergence to the new communication network conditions. Alternatively or optionally, the noise estimates σ²(k) and/or m(k) can be reset.

Buffer Level Calculation

The last phase in the exemplifying method comprises calculation of the desired buffer level:D(k)=B(k)(L_max−L_avg)+C₂√{square root over (σ²(k))}.

Referring now to FIG. 4, there are shown schematic views of computer readable digital storage mediums 400 according to exemplifying embodiments of the present invention, comprising a DVD 400a and a floppy disk 400b. On each of the DVD 400a and the floppy disk 400b there may be stored a computer program comprising computer code adapted to perform, when executed in a processor unit, a method according to the present invention or embodiments thereof, as has been described in the foregoing.

Although only two different types of computer-readable digital storage mediums have been described above with reference to FIG. 4, the present invention encompasses embodiments employing any other suitable type of computer-readable digital storage medium, such as, but not limited to, a non-volatile memory, a hard disk drive, a CD, a flash memory, magnetic tape, a USB stick, a Zip drive, etc.

The receiver may comprise one or more microprocessors (not shown) or some other device with computing capabilities, e.g. an application specific integrated circuit (ASIC), a field programmable gate array (FPGA), a complex programmable logic device (CPLD), etc., in order to perform operations such as estimating a set of parameters of a linear relationship between ΔL and d. Such a microprocessor may alternatively or optionally be comprised in, integrated with, or be, the processing unit of the receiver.

When performing steps of different embodiments of the method of the present invention, the microprocessor typically executes appropriate software that is downloaded to the receiver and stored in a suitable storage area, such as, e.g., a Random Access Memory (RAM), a flash memory or a hard disk, or software that has been stored in a non-volatile memory, e.g., a Read Only Memory (ROM). Such a microprocessor or processing unit may alternatively or optionally be located externally relatively to the receiver (and electrically connected to the receiver).

A computer program product comprising computer code adapted to perform, when executed in a processor unit, a method according to the present invention or any embodiment thereof may be stored on a computer (e.g. a server) adapted to be in communication with a receiver according to an exemplifying embodiment of the present invention. In this manner, when loaded into and executed in a processor unit of the computer, the computer program may perform the method. Such a configuration eliminates the need to store the computer program locally at the receiver. The communication between the computer and the receiver may be implemented in a wired fashion (e.g. by means of Ethernet) or in a non-wired fashion (e.g. by means of wireless infra-red (IR) communications or other wireless optical communications, or by means of wireless radiowave communications.

While the invention has been illustrated and described in detail in the appended drawings and the foregoing description, such illustration and description are to be considered illustrative or exemplifying and not restrictive; the invention is not limited to the disclosed embodiments. Other variations to the disclosed embodiments can be understood and effected by those skilled in the art in practicing the claimed invention, from a study of the drawings, the disclosure, and the appended claims. The mere fact that certain measures are recited in mutually different dependent claims does not indicate that a combination of these measured cannot be used to advantage. Any reference signs in the claims should not be construed as limiting the scope.

Claims

1. A method, comprising: determining, using a processing unit, a frame payload size difference for a plurality of video frames encoded into data packets sequentially received from a communications network, wherein a frame payload size difference is a difference in a payload size of a current frame and a payload size of a previous frame;determining, using the processing unit, a frame network transit delay for the plurality of video frames, wherein the frame network transit delay is a difference in a transport time between the current frame and the previous frame and an expected transport time between the current frame and the previous frame;determining, using the processing unit, a slope and a variance of a linear relationship between the frame payload size difference and the frame network transit delay for at least some of the plurality of video frames; anddetermining a buffer level of a jitter data buffer using a maximum frame payload size, an average frame payload size, the slope and the variance, the jitter data buffer located in memory associated with the processing unit.

2. The method of claim 1, further comprising: calculating the expected transport time between the current frame and the previous frame by comparing timestamp information of the previous frame with timestamp information of the current frame.

3. The method of claim 2, further comprising: calculating the transport time between the current frame and the previous frame by comparing a measured arrival time of the current frame with a measured arrival time of the previous frame.

4. The method of claim 1, further comprising: calculating the transport time between the current frame and the previous frame by comparing a measured arrival time of the current frame with a measured arrival time of the previous frame.

5. The method of claim 1 wherein determining the slope and the variance comprises: performing an adaptive filter algorithm updated upon arrival of each frame.

6. The method of claim 1, further comprising: before determining the slope and the variance, identifying whether a frame of the plurality of frames has an absolute value of a difference between its frame network transit delay and a portion of frame network transit delay attributable to payload size variation between previous frames that exceeds a threshold value.

7. The method of claim 6, further comprising: updating the linear relationship differently based on whether or not the absolute value exceeds the threshold.

8. The method of claim 1, further comprising: sensing a discontinuous change in a parameter of the communications network, the parameter being indicative of traffic conditions in the communications network; andadjusting at least one parameter used to determine the slope and the variance of the linear relationship based on the discontinuous change.

9. The method of claim 8 wherein adjusting at least one parameter comprises resetting the at least one parameter.

10. The method of claim 1, further comprising: determining whether the current frame was transmitted earlier than the previous frame with regards to a transmission order of the plurality of frames.

11. The method of claim 10, further comprising: omitting the current frame from determining the slope and the variance of the linear relationship when the current frame was transmitted earlier with regards to the transmission order.

12. An apparatus, comprising: memory; anda processing unit configured to execute instructions stored in the memory to: determine a frame payload size difference for a plurality of video frames encoded into data packets sequentially received from a communications network, wherein a frame payload size difference is a difference in a payload size of a current frame and a payload size of a previous frame;determine a frame network transit delay for the plurality of video frames, wherein the frame network transit delay is a difference in a transport time between the current frame and the previous frame and an expected transport time between the current frame and the previous frame;determine a slope and a variance of a linear relationship between the frame payload size difference and the frame network transit delay for the plurality of video frames; anddetermine a buffer level of a jitter data buffer using a maximum frame payload size, an average frame payload size, the slope and the variance, the jitter data buffer located in the memory.

13. The apparatus of claim 12 wherein the processing unit is configured to: calculate the expected transport time between the current frame and the previous frame by comparing timestamp information of the previous frame with timestamp information of the current frame.

14. The apparatus of claim 12 wherein the processing unit is configured to: calculate the transport time between the current frame and the previous frame by comparing a measured arrival time of the current frame with a measured arrival time of the previous frame.

15. The apparatus of claim 12 wherein the processing unit is configured to determine the slope and the variance by: performing an adaptive filter algorithm updated upon arrival of each frame.

16. The apparatus of claim 12 wherein the processing unit is configured to, before determining the slope and the variance, identify whether a frame of the plurality of frames has an absolute value of a difference between its frame network transit delay and a portion of frame network transit delay attributable to payload size variation between previous frames that exceeds a threshold value.

17. The apparatus of claim 16 wherein the processing unit is configured to: update the linear relationship differently based on whether or not the absolute value exceeds the threshold.

18. The apparatus of claim 12 wherein the processing unit is configured to: sense a discontinuous change in a parameter of the communications network, the parameter being indicative of traffic conditions in the communications network; andreset at least one parameter used to determine the slope and the variance of the linear relationship based on the discontinuous change.

19. The apparatus of claim 12 wherein the processing unit is configured to: determine whether the current frame was transmitted earlier that the previous frame with regards to a transmission order of the plurality of frames.

20. The apparatus of claim 19 wherein the processing unit is configured to: omit the current frame from determining the slope and the variance of the linear relationship when the current frame was transmitted earlier with regards to the transmission order.