文章基本信息

标题：Perception-Oriented Prominent Region Detection in Video Sequences
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作者：L. Congyan ; X. De ; Y. Xu 等
期刊名称：Informatica
印刷版ISSN：1514-8327
电子版ISSN：1854-3871
出版年度：2005
卷号：29
期号：3
出版社：The Slovene Society Informatika, Ljubljana
摘要：Effective and efficient representation of video sequences is an important yet challenging task for video retrieval and browsing. 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 Networks is used to detect prominent regions in video sequence 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.
关键词：prominent region; image segmentation; feature extraction; video content representation