Please wait a minute...
FITEE
Front. Inform. Technol. Electron. Eng.  2010, Vol. 11 Issue (1): 1-13    DOI: 10.1631/jzus.C0910684
    
Review of the current and future technologies for video compression
Lu YU*1,2, Jian-peng WANG1,2
 1 Institute of Information and Communication Engineering,ZhejiangUniversity,Hangzhou310027,China  2 Key Laboratory of Integrated Information Network Technology of Zhejiang Province, Hangzhou 310027, China
Download:   PDF(339KB)
Export: BibTeX | EndNote (RIS)      

Abstract  Many important developments in video compression technologies have occurred during the past two decades. The block-based discrete cosine transform with motion compensation hybrid coding scheme has been widely employed by most available video coding standards, notably the ITU-T H.26xand ISO/IEC MPEG-xfamilies and video part of China audio video coding standard (AVS). The objective of this paper is to provide a review of the developments of the four basic building blocks of hybrid coding scheme, namely predictive coding, transform coding, quantization and entropy coding, and give theoretical analyses and summaries of the technological advancements. We further analyze the development trends and perspectives of video compression, highlighting problems and research directions.

Key words： Video compression      Predictive coding      Transform coding      Quantization      Entropy coding      Theoretical analysis     
Received: 09 November 2009      Published: 30 November 2009
CLC:  TN919.8  
Fund:  Project  (No.  2009CB320903)  supported  by  the  National  Basic  Re-search Program (973) of China
Service
E-mail this article
Add to my bookshelf
Add to citation manager
E-mail Alert
RSS
Articles by authors
Lu YU
Jian-peng WANG
Cite this article:

Lu YU, Jian-peng WANG. Review of the current and future technologies for video compression. Front. Inform. Technol. Electron. Eng., 2010, 11(1): 1-13.

URL:

http://www.zjujournals.com/xueshu/fitee/10.1631/jzus.C0910684     OR     http://www.zjujournals.com/xueshu/fitee/Y2010/V11/I1/1


Review of the current and future technologies for video compression

Many important developments in video compression technologies have occurred during the past two decades. The block-based discrete cosine transform with motion compensation hybrid coding scheme has been widely employed by most available video coding standards, notably the ITU-T H.26xand ISO/IEC MPEG-xfamilies and video part of China audio video coding standard (AVS). The objective of this paper is to provide a review of the developments of the four basic building blocks of hybrid coding scheme, namely predictive coding, transform coding, quantization and entropy coding, and give theoretical analyses and summaries of the technological advancements. We further analyze the development trends and perspectives of video compression, highlighting problems and research directions.

关键词： Video compression,  Predictive coding,  Transform coding,  Quantization,  Entropy coding,  Theoretical analysis 
[1] Ehsan Saeedi, Yinan Kong, Md. Selim Hossain. Side-channel attacks and learning-vector quantization[J]. Front. Inform. Technol. Electron. Eng., 2017, 18(4): 511-518.
[2] Xing-guo Zhu, Lu Yu. A reversibility-gain model for integer Karhunen-Loève transform design in video coding[J]. Front. Inform. Technol. Electron. Eng., 2015, 16(10): 883-891.
[3] Ling-yue Liu, Wei Chen, Tien-tsin Wong, Wen-ting Zheng, Wei-dong Geng. An improved parallel contrast-aware halftoning[J]. Front. Inform. Technol. Electron. Eng., 2013, 14(12): 918-929.
[4] Hong-yuan Chen, Yue-sheng Zhu. A robust watermarking algorithm based on QR factorization and DCT using quantization index modulation technique[J]. Front. Inform. Technol. Electron. Eng., 2012, 13(8): 573-584.
[5] Song-bin Li, Huai-zhou Tao, Yong-feng Huang. Detection of quantization index modulation steganography in G.723.1 bit stream based on quantization index sequence analysis[J]. Front. Inform. Technol. Electron. Eng., 2012, 13(8): 624-634.
[6] Jian Xu, Jian-xun Li, Sheng Xu. Quantized innovations Kalman filter: stability and modification with scaling quantization[J]. Front. Inform. Technol. Electron. Eng., 2012, 13(2): 118-130.
[7] Suiang-Shyan Lee, Ja-Chen Lin. An accelerated K-means clustering algorithm using selection and erasure rules[J]. Front. Inform. Technol. Electron. Eng., 2012, 13(10): 761-768.
[8] Pejman Mowlaee, Abolghasem Sayadian, Hamid Sheikhzadeh. Split vector quantization for sinusoidal amplitude and frequency[J]. Front. Inform. Technol. Electron. Eng., 2011, 12(2): 140-154.
[9] Pejman MOWLAEE, Abolghasem SAYADIYAN, Hamid SHEIKHZADEH. Evaluating single-channel speech separation performance in transform-domain[J]. Front. Inform. Technol. Electron. Eng., 2010, 11(3): 160-174.