New coding technologies for videos

Pao Yue-kong Library Electronic Theses Database

New coding technologies for videos

 

Author: Wang, Li Li
Title: New coding technologies for videos
Degree: Ph.D.
Year: 2013
Subject: Digital video.
Video compression.
Coding theory.
Hong Kong Polytechnic University -- Dissertations
Department: Dept. of Electronic and Information Engineering
Pages: xix, 177 p. : ill. (some col.) ; 30 cm.
Language: English
InnoPac Record: http://library.polyu.edu.hk/record=b2616061
URI: http://theses.lib.polyu.edu.hk/handle/200/7032
Abstract: In order to save transmission bandwidth and storage space, a series of video coding standards have been established during the past two decades, including MPEG-1/2/4, H.261/H.263 and the current H.264/AVC standard. As compared with earlier standards, H.264/AVC has achieved a significant improvement in the rate-distortion performance. That is, it is possible to save bit rate up to 50% of MPEG-2, H.263, or MPEG-4 Part 2 while keeping the video quality about the same. However, the complexity of an encoder based on H.264/AVC standard is thus very high. Therefore, in this thesis, some novel techniques are developed to speed up an encoding process of inter and intra coding in H.264/AVC standard in the initial part of our research work. Experimental results show that the proposed algorithms can achieve a remarkable reduction of encoding complexity with a negligible loss in rate distortion performance compared with those in H.264/AVC. When compared with other algorithms in the literature, the proposed algorithms also give the best performance in terms of both coding efficiency and coding complexity. With the development of video coding techniques, high definition and ultra-high definition videos are gradually entering our daily life. The demands for the fidelity of the coded videos are higher. The current H.264/AVC standard will soon be unable to efficiently meet the compression demand for transmission or storage at much low bit rate. To develop some new video coding techniques which can give a better rate distortion performance than H.264/AVC standard is increasingly important. Hence this thesis also develops two efficient hierarchical intra prediction algorithms for videos based on H.264/AVC standard. Experimental results show that, as compared to the conventional methods, the proposed algorithm can significantly enhance the compression efficiency of lossless intra coding in H.264/AVC.
However, the H.264/AVC standard may not be still the best in terms of the compression of such larger and higher quality video contents. To overcome this problem, a new generation of video coding standard, which is called High Efficiency Video Coding (VCEG) standard, is being developed by the Joint Collaborative Team-Video Coding (JCT-VC). The objective of HEVC is to achieve a 50% reduction in bitrate compared with the high profile of H.264/AVC standard at the expense of computational complexity but without degrading the image quality. It will be ratified as an international standard in early 2013. Compared with H.264/AVC, many advanced coding tools have been adopted in the HEVC standard. For example, up to 35 modes are available for intra prediction of each prediction unit in HEVC. This can provide more accurate predictions and thereby improve the compression efficiency of intra coding. However, the complexity of an encoder based on the HEVC standard is thereby extremely high. We have found that there is still room for improvement in terms of high intra compression efficiency with less encoding complexity. In the last part of this thesis, we propose an adaptive intra modes skipping algorithm for mode decision and signaling processes for HEVC. The proposed algorithm not only reduces the encoding complexity. Importantly, it also enhances the compression efficiency of intra coding in the HEVC standard.

Files in this item

Files Size Format
b26160614.pdf 3.368Mb PDF
Copyright Undertaking
As a bona fide Library user, I declare that:
  1. I will abide by the rules and legal ordinances governing copyright regarding the use of the Database.
  2. I will use the Database for the purpose of my research or private study only and not for circulation or further reproduction or any other purpose.
  3. I agree to indemnify and hold the University harmless from and against any loss, damage, cost, liability or expenses arising from copyright infringement or unauthorized usage.
By downloading any item(s) listed above, you acknowledge that you have read and understood the copyright undertaking as stated above, and agree to be bound by all of its terms.

     

Quick Search

Browse

More Information