A visual attention based region-of-interest determination framework for video sequences

Wen Huang Cheng, Wei Ta Chu, Ja Ling Wu

研究成果: Article同行評審

40 引文 斯高帕斯(Scopus)

摘要

This paper presents a framework for automatic video region-of-interest determination based on visual attention model. We view this work as a preliminary step towards the solution of high-level semantic video analysis. Facing such a challenging issue, in this work, a set of attempts on using video attention features and knowledge of computational media aesthetics are made. The three types of visual attention features we used are intensity, color, and motion. Referring to aesthetic principles, these features are combined according to camera motion types on the basis of a new proposed video analysis unit, frame-segment. We conduct subjective experiments on several kinds of video data and demonstrate the effectiveness of the proposed framework.

原文English
頁(從 - 到)1578-1586
頁數9
期刊IEICE Transactions on Information and Systems
E88-D
發行號7
DOIs
出版狀態Published - 2005 七月

All Science Journal Classification (ASJC) codes

  • Software
  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Artificial Intelligence

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