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Low-complexity saliency detection algorithm for fast perceptual video coding.

A low-complexity saliency detection algorithm for perceptual video coding is proposed; low-level encoding information is adopted as the characteristics of visual perception analysis. Firstly, this algorithm employs motion vector (MV) to extract temporal saliency region through fast MV noise filterin...

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Published in:Scientific World Journal pp. 293681 - 293682
Main Authors: Liu, Pengyu, Jia, Kebin
Format: research Journal Article
Published: Wiley-Blackwell 2013
Online Access:View this record in EBSCOhost
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        1537744X
        1BX5
      jtl: Scientific World Journal
      issn: 1537744X
      maglogo: N
    pubinfo:
      dt: 2013
      pid: 480
      pub: Wiley-Blackwell
      place: Malden, Massachusetts
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        104016614
        104016614
        NLM24489495
        2012462022
        10.1155/2013/293681
        NLM24489495
        PMC3885321
        104016614
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      formats:
      tig:
        atl: Low-complexity saliency detection algorithm for fast perceptual video coding.
      aug:
        au:
          Liu, Pengyu
          Jia, Kebin
        affil: School of Electronic Information & Control Engineering, Beijing University of Technology, Beijing 100124, China.
      sug:
        subj:
          Algorithms
          Models, Theoretical
          Videorecording
      ab: A low-complexity saliency detection algorithm for perceptual video coding is proposed; low-level encoding information is adopted as the characteristics of visual perception analysis. Firstly, this algorithm employs motion vector (MV) to extract temporal saliency region through fast MV noise filtering and translational MV checking procedure. Secondly, spatial saliency region is detected based on optimal prediction mode distributions in I-frame and P-frame. Then, it combines the spatiotemporal saliency detection results to define the video region of interest (VROI). The simulation results validate that the proposed algorithm can avoid a large amount of computation work in the visual perception characteristics analysis processing compared with other existing algorithms; it also has better performance in saliency detection for videos and can realize fast saliency detection. It can be used as a part of the video standard codec at medium-to-low bit-rates or combined with other algorithms in fast video coding.
      pubtype: Academic Journal
      doctype:
        research
        Journal Article
      ougenre: Article
    language: English
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