![]() ![]() ![]() H. Context Adaptive Binary Arithmetic Coding, CABAC Context Adaptive Variable Length Coding, CAVLC Lossless predictive coding, High 4:4:4 profiles Frequency dependent quantization, High profiles Transform and quantization extensions in the High profiles ![]() Forward quantization and scaling : 8 × 8 blocks Inverse quantization and scaling: 8 × 8 blocks Integer transform and quantization : 8 × 8 blocks Comparison with 4 × 4 DCT using floating-point arithmetic 4 × 4 Transform and quantization: Examples The complete 4 × 4 forward transform and scaling process The complete 4 × 4 inverse transform and scaling process The first book to cover H. Developing the rescaling and inverse transform process Developing the forward transform and quantization process Integer transform and quantization : 4 × 4 blocks Bipredicted macroblock motion vector prediction Generating interpolated sub-pixel samples 16 × 16 luma prediction or chroma prediction The isaacrosh264decoder package can decode the H.264 data into original images using the NVDEC on the Jetson and x86 platform with NVIDIA GPUs. Coding macroblocks in frame or field mode (MBAFF) The isaacrosh264encoder package can compress an image into H.264 data using the NVENC on the Jetson platform. Changing the reference picture list order Example 2: Huffman coding, sequence 2 motion vectors Example 1: Huffman coding, Sequence 1 motion vectors Motion compensated prediction of a macroblock Block-based motion estimation and compensation Why H.264 Advanced Video Coding is important Rao, The University of Texas at Arlington, co-inventor of the Discrete Cosine Transform The book ends with extensions and directions (such as SVC and MVC) for further research." Professor K. But there’s been a lot of buzz in recent years about H. Today most live streaming platforms use it for playback, and it’s still the codec of choice for over 90 percent of video industry developers. The reader can implement (simulate, design, evaluate, optimize) the codec with all profiles and levels. H.264, also known as Advanced Video Encoding (AVC), has long been the dominant video compression standard. " unravels the mysteries behind the latest H.264 standard and delves deeper into each of the operations in the codec. Packed with clear examples and illustrations to explain H.264 technology in an accessible and practical way.Ĭovers basic video coding concepts, video formats and visual quality.Įxplains how to measure and optimise the performance of H.264 and how to balance bitrate, computation and video quality.Īnalyses recent work on scalable and multi-view versions of H.264, case studies of H.264 codecs and new technological developments such as the popular High Profile extensions.Īn invaluable companion for developers, broadcasters, system integrators, academics and students who want to master this burgeoning state-of-the-art technology. Offering a detailed overview of the system, it explains the syntax, tools and features of H.264 and equips readers with practical advice on how to get the most out of the standard. This book reflects the growing importance and implementation of H.264 video technology. Otherwise, YouTube converts the unsupported color spaces to BT.709 by mapping pixel values.H.264 Advanced Video Coding or MPEG-4 Part 10 is fundamental to a growing range of markets such as high definition broadcasting, internet video sharing, mobile video and digital surveillance. Uses the specified value of color primaries/matrix to set and override the unspecified one.Īfter the Upload Color Space Standardization, YouTube will check if BT.709 or BT.601 matches and passes through the color space. The upload color space mixes BT.601 and BT.709 color primaries and matrix, and either primaries or matrix is unspecified. Uses the color matrix to override the color primaries and make them consistent. The upload color space mixes BT.601 and BT.709 color primaries and matrix with specified values. The upload color space has unknown or unspecified color matrix and primaries.Īssumes BT.709 color matrix and primaries. ![]() The upload color space has unspecified TRC. In addition, YouTube may take the following actions to interpret the color space values: When Or, BT.601 NTSC and PAL have functionally similar color matrices and YouTube unifies them to BT.601 NTSC. On Windows right-click on the file or folder you wish to zip. For example, BT.601 and BT.709 TRC are identical, and YouTube unifies them to BT.709. The ability to zip and unzip archive files is built into both Windows and iOS. YouTube standardizes functionally similar color matrices and primaries before processing the video. ![]()
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