The present invention relates to video coding and, in particular, to video coding systems that apply perspective transforms to prediction data.
Capturing high quality video using mobile devices for storage or transmission can be difficult because captured content can change widely and rapidly. Generally, the capturing process involves video processing followed by video compression, both of which generally rely on simple motion models. While video stabilization techniques are often utilized on mobile devices, these techniques simply reduce irregularities in the camera trajectory, and they smooth, but do not eliminate distortion, due to camera translation in free space.
Accordingly, the inventors have identified a need in the art for video coding techniques that normalize effects of changing orientation in image data as part of prediction.
Embodiments of the present invention provide techniques for video coders to perform perspective transformation of reference frames during coding in a manner that conserves processing resources. When a new input frame is available for coding, a camera position for the input frame may be estimated. A video coder may search for reference pictures having similar camera positions as the position of the input frame and, for each reference picture identified, the video coder may perform a prediction search to identify a reference picture that is a best prediction match for the input frame. Once the video coder identifies a reference picture to serve as a prediction source for the input frame, the video coder may derive a transform to match the reference frame data to the input frame data and may transform the reference picture accordingly. The video coder may code the input frame using the transformed reference picture as a prediction reference and may transmit coded frame data and the camera position of the input frame to a decoder.
The motion sensor 220 may generate data representing spatial orientation of the camera 210. The motion sensor 220 may include a sensor device, such as a gyroscope and/or an accelerometer, and a processing system to interpret the sensor data and estimate the camera's position in free space.
As indicated, the preprocessor 230 may perform video processing operations upon the camera video data to improve quality of the video data or to condition the video data for coding. For example, the preprocessor 230 may perform video stabilization and other processes to improve quality of the video data. The preprocessor 230 may perform other operations, such as spatial filtering, temporal filtering, and noise detection and removal to condition the video data for coding.
The video coder 240 may perform coding operations on the video sequence to reduce the video sequence's bit rate. The video coder 240 may include a coding engine 242, a reference picture cache 244, a predictor 246 and a transform unit 248. The coding engine 242 may code the input video data by exploiting temporal and spatial redundancies in the video data and may generate a datastream of coded video data, which typically has a reduced bit rate as compared to the datastream of source video data. As part of its operation, the video coder 240 may perform motion compensated predictive coding, which codes an input frame predictively with reference to one or more previously-coded frames from the video sequence that were designated as “reference frames.” In this manner, the coding engine 242 codes differences between pixel blocks of an input frame and pixel blocks of reference frame(s) that are selected as prediction reference(s) to the input frame.
For example, frames often are assigned as one of the following frame types:
The coding engine 242 may include a local decoder (not shown) that may decode coded video data of the frames that are designated as reference frames. Operations of the coding engine 242 typically are lossy processes. When the coded video data is decoded at a video decoder device (not shown), the recovered video sequence typically is a replica of the source video sequence with some errors. The local decoder may perform, at the coding device 200, the decoding processes that will be performed by the video decoder on reference frames and may cause reconstructed reference frames to be stored in the reference picture cache 244. In this manner, the coding device 200 may store copies of reconstructed reference frames locally that have common content as the reconstructed reference frames that will be obtained by a far-end video decoder absent transmission errors.
The reference picture cache 244 may store data 244.1 of the decoded reference pictures and position data 244.2 for each frame representing the camera's position in free space when the source data of the decoded reference frame was captured. Thus, the reference picture cache 244 stores data that permits the video coder 240 to compare camera positions at the time of capture for input frames that are to be coded with corresponding camera positions of other input frames that became reference frames.
The predictor 246 may perform prediction searches for the coding engine 242. That is, for a new frame to be coded, the predictor 246 may search the reference picture cache 244 for image data that may serve as an appropriate prediction reference for the new frames. The predictor 246 may operate on a pixel block-by-pixel block basis to find appropriate prediction references. In some cases, as determined by search results obtained by the predictor 246, an input frame may have prediction references drawn from multiple frames stored in the reference picture cache 244. When the predictor 246 finds a match, prediction data from the matching reference frame may be output to the transform unit 248, which may apply a transform to the prediction data to match the position of the reference frame to the position of the input frame. The transform unit 248 may apply a transform to prediction data based on the camera's position θIN when the input frame was captured and the camera's position θREF when the reference frame was captured. Additionally, the predictor 246 may generate a motion vector identifying a portion of the matching reference frame that serves as a prediction reference for the portion of input data being coded; the coding engine 242 typically codes input frames on a pixel block-by-pixel block basis and motion vectors may be generated for each such pixel block. The coding engine 242 may code the input frame with reference to the transformed reference frame data.
During operation, the camera 210 may generate video data at a predetermined frame rate. The motion sensor 220 may generate output data indicating, for each frame, the camera's estimated orientation in free space when the respective frame was captured. The preprocessor 230 may perform processing operations upon the video data output by the camera 210. If the preprocessor 230 is configured to apply video stabilization processing to the video sequence, it may do so using frame-to-frame position information from the motion sensor 220 as a basis from which to estimate camera motion. The preprocessor 230 may output a processed video sequence to the video coder 240.
In an embodiment, the motion sensor 220 may generate a position estimate that is represented as a rotation from a reference position to the camera's current position. The video coder 240 may use the position estimate to identify a reference picture from the reference picture cache to serve as a prediction reference for an input frame. As illustrated in
The coding device 400 may represent the camera positions in a 3D rotation format, namely the quaternion format q=(w, x, y, z) where the 3D vector (x, y, z) indicates the rotation axis, and w=cos(a/2) where a is the rotation angle with respect to the axis. To derive a transform matrix, the system may compute the rotation from the camera position of a reference frame (qref) to that of the current frame (qin). The system may calculate a rotation difference qΔ as qΔ=qin*inv(qref). The rotation qΔ may represent a rotation of the camera from a position of the reference frame to the initial position and then rotating it from the initial position to the position of the input frame.
The rotation matrix V may be set as a quaternion to spatial rotation matrix, namely.
The transform also may be adjusted to accommodate camera zooming if the camera focus lengths of the current and reference frames differ from each other.
In an embodiment, to simplify calculations and conserve resources, the coding device 400 may convert the perspective transform matrix into an affine transform matrix. To do so, the system may extract a yaw rotation angle from the perspective matrix V, and generate a 2D rotation matrix based on the yaw rotation angle only. In this instance, the yaw rotation may be the rotation with to respect the camera view direction. In addition, pitch and roll rotation angles may be used to estimate global motion vector that further reduces power consumption in motion estimation
The coding engine 242 may include a local decoder (not shown) to decode coded data of input frames that are designated to be reference frames and to store the decoded reference frame data in the reference picture cache 244. When a decoded reference frame is stored in the reference picture cache 244, camera position data may be stored in the cache as well for use in later prediction searches.
Embodiments of the present invention may work jointly with pre-processing systems that perform video stabilization. In this case, camera position estimates may be modified to account for transforms applied by the pre-processor since the preprocessor will have altered the video and, therefore, the original camera estimates would not be aligned with the processed video.
The method of
The motion sensor 420 may generate data representing spatial orientation of the camera 410. The motion sensor 420 may include a sensor device such as a gyroscope and/or an accelerometer, and a processing system to interpret the sensor data and estimate the camera's position in free space.
As indicated, the preprocessor 430 may perform video processing operations upon the camera video data to improve quality of the video data or to condition the video data for coding. For example, the preprocessor 430 may perform video stabilization and other processes to improve quality of the video data. The preprocessor 430 may perform other operations, such as spatial filtering, temporal filtering, noise detection and removal, to condition the video data for coding.
During operation, the camera 410 may generate video data at a predetermined frame rate. The motion sensor 420 may generate output data indicating, for each frame, the camera's estimated orientation in free space when the respective frame was captured. The preprocessor 430 may perform processing operations upon the video data output by the camera 410. Again, the preprocessor 430 may perform video stabilization using frame-to-frame position information from the motion sensor 420. The preprocessor 430 may output a processed video sequence to the video coder 440.
The video coder 440 may perform compression operations on its input data according to motion-compensated prediction techniques. Frames may be selected according to intra- or inter-prediction modes. Intra-predicted frames are to be coded without reference to any other frame in the video sequence; the coding engine 441 may code portions of the input frame with reference to other portions of the same frame. Inter-predicted frames may be coded with reference to decoded data of other previously-coded reference frames stored in the reference picture cache 442. To inter-code an input frame, the video coder 440 may compare position data of the input frame to position data of the reference frames stored in the reference picture cache 442, represented as comparator 445. The comparator 445 may identify a sub-set of the reference pictures that have similar camera orientation as the input frame. The transform unit 444 may derive and apply a transform to the sub-set of reference frames to change a perspective of the reference picture to match that of the input frame. Thereafter, predictor 443 may search among content of the transformed reference picture to find content that provides an appropriate match to content of the input frame and, when such data is found, it may output the matching content of the transformed reference picture to the coding engine 441. The coding engine 441 may code the input frame with reference to the transformed reference frame data.
The method of
In yet another embodiment (not shown), a video coder 440 (
The video decoder 640 may recover frame data from coded video data in the input buffer 630. The video decoder 640 may invert coding operations that were performed by a video coder (
During operation, the receiver 610 may receive channel data and store it in the input buffer 630. The input buffer may output coded video data to the video decoder 640 for further processing. The predictor 646 may respond to motion vectors contained in the coded video data and output prediction data from the reference picture cache 644. The transform unit 648 may respond to position data contained in the coded video data and position data associated with the prediction data to derive a transform and to apply the transform being output from the reference picture cache 644. The transform unit 648 may output the transformed prediction data to the decoding engine 642 which may use the prediction data as a basis to decode a current frame.
In an embodiment, the transform unit 648 may derive a perspective or an affine transform as described above with respect to
The decoding engine 642 may cause recovered reference frames and the reference frames' position data to be stored in the reference picture cache 644. When a decoded reference frame is stored in the reference picture cache 644, camera position data may be stored in the cache as well for use in later prediction searches.
The post-processor 650 may filter recovered frame data which may be output to a display 660 for rendering. Alternatively, recovered frame data may be output to a storage device (not shown) for later use.
Several embodiments of the invention are specifically illustrated and/or described herein. However, it will be appreciated that modifications and variations of the invention are covered by the above teachings and within the purview of the appended claims without departing from the spirit and intended scope of the invention.
The present invention benefits from priority afforded by U.S. patent application Ser. No. 61/657,621, filed Jun. 8, 2012, entitled “Low Power Reference Picture Transformation,” the entirety of which is incorporated herein by reference.
Number | Date | Country | |
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61657621 | Jun 2012 | US |