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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Main Authors: Pengyu Liu, Kebin Jia
Format: Article
Language:English
Published: Wiley 2013-01-01
Series:The Scientific World Journal
Online Access:http://dx.doi.org/10.1155/2013/293681
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author Pengyu Liu
Kebin Jia
author_facet Pengyu Liu
Kebin Jia
author_sort Pengyu Liu
collection DOAJ
description 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.
format Article
id doaj-art-1828dad1383a4eecb0314702abf8bf8c
institution Kabale University
issn 1537-744X
language English
publishDate 2013-01-01
publisher Wiley
record_format Article
series The Scientific World Journal
spelling doaj-art-1828dad1383a4eecb0314702abf8bf8c2025-08-20T03:54:20ZengWileyThe Scientific World Journal1537-744X2013-01-01201310.1155/2013/293681293681Low-Complexity Saliency Detection Algorithm for Fast Perceptual Video CodingPengyu Liu0Kebin Jia1School of Electronic Information & Control Engineering, Beijing University of Technology, Beijing 100124, ChinaSchool of Electronic Information & Control Engineering, Beijing University of Technology, Beijing 100124, ChinaA 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.http://dx.doi.org/10.1155/2013/293681
spellingShingle Pengyu Liu
Kebin Jia
Low-Complexity Saliency Detection Algorithm for Fast Perceptual Video Coding
The Scientific World Journal
title Low-Complexity Saliency Detection Algorithm for Fast Perceptual Video Coding
title_full Low-Complexity Saliency Detection Algorithm for Fast Perceptual Video Coding
title_fullStr Low-Complexity Saliency Detection Algorithm for Fast Perceptual Video Coding
title_full_unstemmed Low-Complexity Saliency Detection Algorithm for Fast Perceptual Video Coding
title_short Low-Complexity Saliency Detection Algorithm for Fast Perceptual Video Coding
title_sort low complexity saliency detection algorithm for fast perceptual video coding
url http://dx.doi.org/10.1155/2013/293681
work_keys_str_mv AT pengyuliu lowcomplexitysaliencydetectionalgorithmforfastperceptualvideocoding
AT kebinjia lowcomplexitysaliencydetectionalgorithmforfastperceptualvideocoding