Perception-Oriented Prominent Region Detection in Video Sequences Using Fuzzy Inference Neural Network
Identifieur interne : 001264 ( Main/Exploration ); précédent : 001263; suivant : 001265Perception-Oriented Prominent Region Detection in Video Sequences Using Fuzzy Inference Neural Network
Auteurs : Congyan Lang [République populaire de Chine, Niger] ; De Xu [République populaire de Chine] ; Xu Yang [République populaire de Chine] ; Yiwei Jiang [République populaire de Chine] ; Wengang Cheng [République populaire de Chine]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2005.
Abstract
Abstract: In this paper, we propose a new approach for the prominent region detection from the viewpoint of the human perception intending to construct a good pattern for content representation of the video sequences. Firstly, we partition each frame into homogeneous regions using a technique based on a non-parameter clustering algorithm. Then, in order to automatically determine the prominent importance of the different homogenous regions in a frame, we extract a number of different mise-en-scene-based perceptual features, which influence human visual attention. Finally, a modified Fuzzy Inference Neural Network is used to detect prominent regions in video sequences, due to its simple structure and superior performance for automatic fuzzy rules extraction. The extracted prominent regions could be used as a good pattern to bridge semantic gap between low-level features and semantic understanding. Experimental results show the excellent performance of the approach.
Url:
DOI: 10.1007/11427445_132
Affiliations:
Links toward previous steps (curation, corpus...)
- to stream Istex, to step Corpus: 000434
- to stream Istex, to step Curation: 000427
- to stream Istex, to step Checkpoint: 000B73
- to stream Main, to step Merge: 001300
- to stream Main, to step Curation: 001264
Le document en format XML
<record><TEI wicri:istexFullTextTei="biblStruct"><teiHeader><fileDesc><titleStmt><title xml:lang="en">Perception-Oriented Prominent Region Detection in Video Sequences Using Fuzzy Inference Neural Network</title><author><name sortKey="Lang, Congyan" sort="Lang, Congyan" uniqKey="Lang C" first="Congyan" last="Lang">Congyan Lang</name></author><author><name sortKey="Xu, De" sort="Xu, De" uniqKey="Xu D" first="De" last="Xu">De Xu</name></author><author><name sortKey="Yang, Xu" sort="Yang, Xu" uniqKey="Yang X" first="Xu" last="Yang">Xu Yang</name></author><author><name sortKey="Jiang, Yiwei" sort="Jiang, Yiwei" uniqKey="Jiang Y" first="Yiwei" last="Jiang">Yiwei Jiang</name></author><author><name sortKey="Cheng, Wengang" sort="Cheng, Wengang" uniqKey="Cheng W" first="Wengang" last="Cheng">Wengang Cheng</name></author></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:F4608B5C99D69B9A50664168C40E5A4520A9424F</idno><date when="2005" year="2005">2005</date><idno type="doi">10.1007/11427445_132</idno><idno type="url">https://api.istex.fr/document/F4608B5C99D69B9A50664168C40E5A4520A9424F/fulltext/pdf</idno><idno type="wicri:Area/Istex/Corpus">000434</idno><idno type="wicri:Area/Istex/Curation">000427</idno><idno type="wicri:Area/Istex/Checkpoint">000B73</idno><idno type="wicri:doubleKey">0302-9743:2005:Lang C:perception:oriented:prominent</idno><idno type="wicri:Area/Main/Merge">001300</idno><idno type="wicri:Area/Main/Curation">001264</idno><idno type="wicri:Area/Main/Exploration">001264</idno></publicationStmt><sourceDesc><biblStruct><analytic><title level="a" type="main" xml:lang="en">Perception-Oriented Prominent Region Detection in Video Sequences Using Fuzzy Inference Neural Network</title><author><name sortKey="Lang, Congyan" sort="Lang, Congyan" uniqKey="Lang C" first="Congyan" last="Lang">Congyan Lang</name><affiliation wicri:level="3"><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Dept. of Computer Science, Beijing Jiaotong University, 100044, Beijing</wicri:regionArea><placeName><settlement type="city">Pékin</settlement></placeName></affiliation><affiliation wicri:level="1"><country wicri:rule="url">Niger</country></affiliation></author><author><name sortKey="Xu, De" sort="Xu, De" uniqKey="Xu D" first="De" last="Xu">De Xu</name><affiliation wicri:level="3"><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Dept. of Computer Science, Beijing Jiaotong University, 100044, Beijing</wicri:regionArea><placeName><settlement type="city">Pékin</settlement></placeName></affiliation></author><author><name sortKey="Yang, Xu" sort="Yang, Xu" uniqKey="Yang X" first="Xu" last="Yang">Xu Yang</name><affiliation wicri:level="3"><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Dept. of Computer Science, Beijing Jiaotong University, 100044, Beijing</wicri:regionArea><placeName><settlement type="city">Pékin</settlement></placeName></affiliation></author><author><name sortKey="Jiang, Yiwei" sort="Jiang, Yiwei" uniqKey="Jiang Y" first="Yiwei" last="Jiang">Yiwei Jiang</name><affiliation wicri:level="3"><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Dept. of Computer Science, Beijing Jiaotong University, 100044, Beijing</wicri:regionArea><placeName><settlement type="city">Pékin</settlement></placeName></affiliation></author><author><name sortKey="Cheng, Wengang" sort="Cheng, Wengang" uniqKey="Cheng W" first="Wengang" last="Cheng">Wengang Cheng</name><affiliation wicri:level="3"><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Dept. of Computer Science, Beijing Jiaotong University, 100044, Beijing</wicri:regionArea><placeName><settlement type="city">Pékin</settlement></placeName></affiliation></author></analytic><monogr></monogr><series><title level="s">Lecture Notes in Computer Science</title><imprint><date>2005</date></imprint><idno type="ISSN">0302-9743</idno><idno type="eISSN">1611-3349</idno><idno type="ISSN">0302-9743</idno></series><idno type="istex">F4608B5C99D69B9A50664168C40E5A4520A9424F</idno><idno type="DOI">10.1007/11427445_132</idno><idno type="ChapterID">132</idno><idno type="ChapterID">Chap132</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0302-9743</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Abstract: In this paper, we propose a new approach for the prominent region detection from the viewpoint of the human perception intending to construct a good pattern for content representation of the video sequences. Firstly, we partition each frame into homogeneous regions using a technique based on a non-parameter clustering algorithm. Then, in order to automatically determine the prominent importance of the different homogenous regions in a frame, we extract a number of different mise-en-scene-based perceptual features, which influence human visual attention. Finally, a modified Fuzzy Inference Neural Network is used to detect prominent regions in video sequences, due to its simple structure and superior performance for automatic fuzzy rules extraction. The extracted prominent regions could be used as a good pattern to bridge semantic gap between low-level features and semantic understanding. Experimental results show the excellent performance of the approach.</div></front></TEI><affiliations><list><country><li>Niger</li><li>République populaire de Chine</li></country><settlement><li>Pékin</li></settlement></list><tree><country name="République populaire de Chine"><noRegion><name sortKey="Lang, Congyan" sort="Lang, Congyan" uniqKey="Lang C" first="Congyan" last="Lang">Congyan Lang</name></noRegion><name sortKey="Cheng, Wengang" sort="Cheng, Wengang" uniqKey="Cheng W" first="Wengang" last="Cheng">Wengang Cheng</name><name sortKey="Jiang, Yiwei" sort="Jiang, Yiwei" uniqKey="Jiang Y" first="Yiwei" last="Jiang">Yiwei Jiang</name><name sortKey="Xu, De" sort="Xu, De" uniqKey="Xu D" first="De" last="Xu">De Xu</name><name sortKey="Yang, Xu" sort="Yang, Xu" uniqKey="Yang X" first="Xu" last="Yang">Xu Yang</name></country><country name="Niger"><noRegion><name sortKey="Lang, Congyan" sort="Lang, Congyan" uniqKey="Lang C" first="Congyan" last="Lang">Congyan Lang</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Ticri/CIDE/explor/OcrV1/Data/Main/Exploration
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 001264 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 001264 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Ticri/CIDE
|area= OcrV1
|flux= Main
|étape= Exploration
|type= RBID
|clé= ISTEX:F4608B5C99D69B9A50664168C40E5A4520A9424F
|texte= Perception-Oriented Prominent Region Detection in Video Sequences Using Fuzzy Inference Neural Network
}}
| This area was generated with Dilib version V0.6.32. |  |