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Author:

Liu, Pengyu (Liu, Pengyu.) | Jia, Kebin (Jia, Kebin.) (Scholars:贾克斌)

Indexed by:

EI Scopus

Abstract:

A fast and hierarchical video coding method using lower coding information is proposed in this study. Firstly, a visual region of interest (VROI) detection algorithm is given based on the interdependency between in the coding information (inter-frame prediction mode, motion vector, etc.) and visual perception characteristics After that, visual interested priority is set and the hierarchical video coding method is developed according to the setting results. At last, different visual perception characteristic sahencies are the key to constitute the low complexity video coding framework. The simulation results show that the proposed hierarchical video coding method effectively alleviates the contradiction between complexity and accuracy. Compared with H.264/AVC (JM17.0), it reduces nearly 80% video coding time approximately and maintains a good video image quality and improves video coding performance significantly. © 2013 Asian Network for Scientific Information.

Keyword:

Image enhancement Image coding Video signal processing Codes (symbols) Vision Image segmentation

Author Community:

  • [ 1 ] [Liu, Pengyu]School of Electronic Information and Control Engineering, Beijing University of Technology, 100124, Beijing, China
  • [ 2 ] [Jia, Kebin]School of Electronic Information and Control Engineering, Beijing University of Technology, 100124, Beijing, China

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Source :

Information Technology Journal

ISSN: 1812-5638

Year: 2013

Issue: 19

Volume: 12

Page: 5386-5390

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 3

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