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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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Detalles Bibliográficos
Autores principales: Liu, Pengyu, Jia, Kebin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3885321/
https://www.ncbi.nlm.nih.gov/pubmed/24489495
http://dx.doi.org/10.1155/2013/293681
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author Liu, Pengyu
Jia, Kebin
author_facet Liu, Pengyu
Jia, Kebin
author_sort Liu, Pengyu
collection PubMed
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.
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spelling pubmed-38853212014-02-02 Low-Complexity Saliency Detection Algorithm for Fast Perceptual Video Coding Liu, Pengyu Jia, Kebin ScientificWorldJournal Research Article 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. Hindawi Publishing Corporation 2013-12-23 /pmc/articles/PMC3885321/ /pubmed/24489495 http://dx.doi.org/10.1155/2013/293681 Text en Copyright © 2013 P. Liu and K. Jia. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Liu, Pengyu
Jia, Kebin
Low-Complexity Saliency Detection Algorithm for Fast Perceptual Video Coding
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
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3885321/
https://www.ncbi.nlm.nih.gov/pubmed/24489495
http://dx.doi.org/10.1155/2013/293681
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