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Journal ArticleDOI

H.263: video coding for low-bit-rate communication

K. Rijkse
- 01 Dec 1996 - 
- Vol. 34, Iss: 12, pp 42-45
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TLDR
This article provides an overview of H.263, the new ITU-T Recommendation for low-bit-rate video communication, which specifies a coded representation for compressing the moving picture component of audio-visual signals at low bit rates.
Abstract
This article provides an overview of H.263, the new ITU-T Recommendation for low-bit-rate video communication. H.263 specifies a coded representation for compressing the moving picture component of audio-visual signals at low bit rates. The basic structure of the video source coding algorithm is taken from ITU-T Recommendation H.261 and is a hybrid of interpicture prediction to reduce temporal redundancy and transform coding of the prediction residual to reduce spatial redundancy. The source coder can operate on five standardized picture formats: sub-QCIF, QCIF, CIF, 4CIF, and 16CIF. The decoder has motion compensation capability with half-pixel precision, in contrast to H.261 which uses full-pixel precision and employs a loop filter. H.263 includes four negotiable coding options which provide improved coding efficiency: unrestricted motion vectors, syntax-based arithmetic coding, advanced prediction, and PB-frames.

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Citations
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Journal ArticleDOI

Overview of the High Efficiency Video Coding (HEVC) Standard

TL;DR: The main goal of the HEVC standardization effort is to enable significantly improved compression performance relative to existing standards-in the range of 50% bit-rate reduction for equal perceptual video quality.
Journal ArticleDOI

Overview of the Scalable Video Coding Extension of the H.264/AVC Standard

TL;DR: An overview of the basic concepts for extending H.264/AVC towards SVC are provided and the basic tools for providing temporal, spatial, and quality scalability are described in detail and experimentally analyzed regarding their efficiency and complexity.
Journal ArticleDOI

A survey on wireless multimedia sensor networks

TL;DR: Existing solutions and open research issues at the application, transport, network, link, and physical layers of the communication protocol stack are investigated, along with possible cross-layer synergies and optimizations.
Journal ArticleDOI

Rate-distortion optimization for video compression

TL;DR: Based on the well-known hybrid video coding structure, Lagrangian optimization techniques are presented that try to answer the question: what part of the video signal should be coded using what method and parameter settings?
References
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Journal ArticleDOI

Arithmetic coding for data compression

TL;DR: The state of the art in data compression is arithmetic coding, not the better-known Huffman method, which gives greater compression, is faster for adaptive models, and clearly separates the model from the channel encoding.
Proceedings ArticleDOI

Status of ITU and ISO/MPEG4 video coding standards at very low bit-rates

TL;DR: The goal of the ISO project, designated MPEG4, is to develop a generic video coding syntax suitable for a wide range of applications such as videophone via the PSTN and mobile radio, security systems, mobile experts, emergency monitoring, educational networks, and networked games.
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