Dolby Laboratories Licensing Corporation

Apple Inc.

Qualcomm Incorporated

Dolby Laboratories Licensing Corproation

Athanasios Leontaris

Alexandros Michael Tourapis

Peshala Vishvajith Pahalawatta

Kevin J Stec

David Ruhoff

Yuwen He

Yaxiong Zhou

Yan Ye

Peng Yin

Walter J Husak

Mark P Rygh

Guy Côté

Francesco Iacopino

Guy Cote

Xiaosong Zhou

David William Singer

Jim Chen Chou

In Suk Chong

Haitao Guo

Sorin Constantin Cismas

Xiaojin Shi

Muge Wang

Sumit Mohan

Jaehong Chon

Jae Y Park

Hariharan Ganesh Lalgudi

Mang Li

Heon-Mo Koo

Ponan Kuo

Alexandras Tourapis

Liviu R Morogan

Walt J Husak

David S Ruhoff

Sampled data is packaged in checkerboard format for encoding and decoding. The sampled data may be quincunx sampled multi-image video data (e.g., 3D video or a multi-program stream), and the data may also be divided into sub-images of each image which are then multiplexed, or interleaved, in frames of a video stream to be encoded and then decoded using a standardized video encoder. A system for viewing may utilize a standard video decoder and a formatting device that de-interleaves the decoded sub-images of each frame reformats the images for a display device. A 3D video may be encoded using a most advantageous interleaving format such that a preferred quality and compression ratio is reached. In one embodiment, the invention includes a display device that accepts data in multiple formats.

Coding and decoding of interleaved image data

Embodiments feature families of rate allocation and rate control methods that utilize advanced processing of past and future frame/field picture statistics and are designed to operate with one or more coding passes. At least two method families include: a family of methods for a rate allocation with picture look-ahead; and a family of methods for average bit rate (ABR) control methods. At least two other methods for each method family are described. For the first family of methods, some methods may involve intra rate control. For the second family of methods, some methods may involve high complexity ABR control and/or low complexity ABR control. These and other embodiments can involve any of the following: spatial coding parameter adaptation, coding prediction, complexity processing, complexity estimation, complexity filtering, bit rate considerations, quality considerations, coding parameter allocation, and/or hierarchical prediction structures, among others.

Video compression and transmission techniques

The present disclosure is directed towards image processing circuitry that applies temporal filtering to video image data along motion trajectories in the video image data. The temporal filtering may be applied along motion trajectories in the image data, by filtering source pixels by reference pixel values and the refined motion vectors. The temporal filtering circuitry may fetch source and reference pixel values based on received motion vectors from an encoding pipeline. Additionally, the temporal filtering circuitry may include a motion vector refinement block along with a temporal filtering block, such that the video image data may be filtered based on refined motion vectors and source and reference pixel values.

Systems and methods for motion compensated temporal filtering during image processing operations

An encoding device evaluates a plurality of processing and/or post-processing algorithms and/or methods to be applied to a video stream, and signals a selected method, algorithm, class or category of methods/algorithms either in an encoded bitstream or as side information related to the encoded bitstream. A decoding device or post-processor utilizes the signaled algorithm or selects an algorithm/method based on the signaled method or algorithm. The selection is based, for example, on availability of the algorithm/method at the decoder/post-processor and/or cost of implementation. The video stream may comprise, for example, downsampled multiplexed stereoscopic images and the selected algorithm may include any of upconversion and/or error correction techniques that contribute to a restoration of the downsampled images.

Directed interpolation and data post-processing

Overlapped block disparity estimation and compensation is described. Compensating for images with overlapped block disparity compensation (OBDC) involves determining if OBDC is enabled in a video bit stream, and determining if OBDC is enabled for one or more macroblocks that neighbor a first macroblock within the video bit stream. The neighboring macroblocks may be transform coded. If OBDC is enabled in the video bit stream and for the one or more neighboring macroblocks, predictions may be made for a region of the first macroblock that has an edge adjacent with the neighboring macroblocks. OBDC can be causally applied. Disparity compensation parameters or modes may be shared amongst views or layers. A variety of predictions may be used with causally-applied OBDC.

Predictive motion vector coding

Video coding schemes may include one or more filters to reduce coding artifacts and improve video quality. These filters may be applied to decode video data in a predetermined sequence. The output from one or more of these filters may be selected for different images, blocks, or sets of video data and then copied and/or routed to a display or a buffer storing reference data that is used to decode other video data in a data stream. Providing the ability to select which filter output is used for display and as a reference may result in better video quality for multiple types of video data. The filters that are selected for display and for reference may be different and may vary for different images, blocks, and data sets.

Video display preference filtering

An encoding device evaluates a plurality of processing and/or post-processing algorithms and/or methods to be applied to a video stream, and signals a selected method, algorithm, class or category of methods/algorithms either in an encoded bitstream or as side information related to the encoded bitstream. A decoding device or post-processor utilizes the signaled algorithm or selects an algorithm/method based on the signaled method or algorithm. The selection is based, for example, on availability of the algorithm/method at the decoder/post-processor and/or cost of implementation. The video stream may comprise, for example, downsampled multiplexed stereoscopic images and the selected algorithm May include any of upconversion and/or error correction techniques that contribute to a restoration of the downsampled images.

The present disclosure relates to systems and methods of multi-processing core processing of image frames during image encoding. The multiple processing cores may be connected via dedicated interfaces and transfer neighbor data between the processing cores to enable parallel processing of frame data. The multiple processing cores may each process quad-rows of image data for a single frame in parallel to reduce memory usage and mitigate latency in video encoding.

Systems and methods for multi-core image encoding

Growing community of inventors

Mountain View, CA, United States of America

Athanasios Leontaris