High Efficiency Video Coding (HEVC) is currently being prepared as the newest video coding standard of the ITU-T Video Coding Experts Group and the ISO/IEC Moving Picture Experts Group. 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. This paper provides an overview of the technical features and characteristics of the HEVC standard.

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Overview of the High Efficiency Video Coding (HEVC) Standard

From the Publisher: 
The accessible presentation of this book gives both a general view of the entire computer vision enterprise and also offers sufficient detail to be able to build useful applications. Users learn techniques that have proven to be useful by first-hand experience and a wide range of mathematical methods. A CD-ROM with every copy of the text contains source code for programming practice, color images, and illustrative movies. Comprehensive and up-to-date, this book includes essential topics that either reflect practical significance or are of theoretical importance. Topics are discussed in substantial and increasing depth. Application surveys describe numerous important application areas such as image based rendering and digital libraries. Many important algorithms broken down and illustrated in pseudo code. Appropriate for use by engineers as a comprehensive reference to the computer vision enterprise.

Computer vision : a modern approach = 计算机视觉 : 一种现代的方法

With the introduction of the H.264/AVC video coding standard, significant improvements have recently been demonstrated in video compression capability. The Joint Video Team of the ITU-T VCEG and the ISO/IEC MPEG has now also standardized a Scalable Video Coding (SVC) extension of the H.264/AVC standard. SVC enables the transmission and decoding of partial bit streams to provide video services with lower temporal or spatial resolutions or reduced fidelity while retaining a reconstruction quality that is high relative to the rate of the partial bit streams. Hence, SVC provides functionalities such as graceful degradation in lossy transmission environments as well as bit rate, format, and power adaptation. These functionalities provide enhancements to transmission and storage applications. SVC has achieved significant improvements in coding efficiency with an increased degree of supported scalability relative to the scalable profiles of prior video coding standards. This paper provides an overview of the basic concepts for extending H.264/AVC towards SVC. Moreover, the basic tools for providing temporal, spatial, and quality scalability are described in detail and experimentally analyzed regarding their efficiency and complexity.

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

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

Visual surveillance in dynamic scenes, especially for humans and vehicles, is currently one of the most active research topics in computer vision. It has a wide spectrum of promising applications, including access control in special areas, human identification at a distance, crowd flux statistics and congestion analysis, detection of anomalous behaviors, and interactive surveillance using multiple cameras, etc. In general, the processing framework of visual surveillance in dynamic scenes includes the following stages: modeling of environments, detection of motion, classification of moving objects, tracking, understanding and description of behaviors, human identification, and fusion of data from multiple cameras. We review recent developments and general strategies of all these stages. Finally, we analyze possible research directions, e.g., occlusion handling, a combination of twoand three-dimensional tracking, a combination of motion analysis and biometrics, anomaly detection and behavior prediction, content-based retrieval of surveillance videos, behavior understanding and natural language description, fusion of information from multiple sensors, and remote surveillance.

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A survey on visual surveillance of object motion and behaviors

The video coding standard High Efficiency Video Coding (HEVC) targets at improved compression performance for video resolutions of HD and beyond, providing Ultra HD video at similar compressed bit rates as for HD video encoded with the well-established video coding standard H.264/AVC. Based on known concepts, new coding structures and improved coding tools have been developed and specified in HEVC. The standard is expected to be taken up easily by established industry as well as new endeavors, answering the needs of todays connected and ever-evolving online world. This book presents the High Efficiency Video Coding standard and explains it in a clear and coherent language. It provides a comprehensive and consistently written description, all of a piece. The book targets at both, newbies to video coding as well as experts in the field. While providing sections with introductory text for the beginner, it suits as a well-arranged reference book for the expert. The book provides a comprehensive reference for the technical details of the employed coding tools; it further outlines the algorithmic advances compared to H.264/AVC. In addition to the technical aspects, the book provides insight to the general concepts of standardization, how specification text is written, and how these concepts apply to the HEVC specification.

High Efficiency Video Coding: Coding Tools and Specification

This paper provides a performance analysis of the scalable video coding (SVC) extension of H.264/AVC. A short overview presenting the main functionalities of SVC is given and main issues in encoder control and bit stream extraction are outlined. Some aspects of rate-distortion optimization in the context of SVC are discussed and strategies for derivation of optimized configurations relative to the investigated scalability scenarios are presented. Based on these methods, rate-distortion results for several SVC configurations are presented and compared to rate-distortion optimized H.264/AVC single layer coding. For reference, a comparison to rate-distortion optimized MPEG-4 visual (advanced simple profile) coding results is provided. The results show that the performance gap between single layer coding and scalable video coding can be very small and that SVC clearly outperforms previous video coding technology such as MPEG-4 ASP.

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Performance Analysis of SVC

A concept for variable block-size transform coding is presented. It is called adaptive block-size transforms (ABT) and was proposed for coding of high resolution and interlaced video in the emerging video coding standard H.264/AVC. The basic idea of inter ABT is to align the block size used for transform coding of the prediction error to the block size used for motion compensation. Intra ABT employs variable block-size prediction and transforms for encoding. With ABT, the maximum feasible signal length is exploited for transform coding. Simulation results reveal a performance increase up to 12% overall rate savings and 0.9 dB in peak signal-to-noise ratio.

Mathias Wien

Papers

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

High Efficiency Video Coding: Coding Tools and Specification

Performance Analysis of SVC

Variable block-size transforms for H.264/AVC

Variable block size transforms for hybrid video coding