Face-sets based video shot retrieval using the text-search analogous approach
The objective of this work is to retrieve shots containing particular people in video material. Due to well known problems such as illumination, pose and expression variations, it has been a challenging task. To this end, a robust and scalable approach analogized with text search method is proposed in this paper, which mainly consists of four steps: Obtaining sets of face exemplars by tracking, Local Facial Features Extraction and Fusion, Visual words established, Document descriptor obtained and VSM established for shot retrieval. Experimental results demonstrate that the proposed approach is not only efficient but also outperforms the competing methods.
pattern recognition face recognition shot retrieval video retrieval text-search face-sets visual words bag of words
Rui Liu Haiyang Zhen Ming Zhu
Dept. of Electronic Engineering and Information Science, University of Science and Technology of Chi Dept. of Automation, University of Science and Technology of China
国际会议
桂林
英文
1-7
2011-11-01（万方平台首次上网日期，不代表论文的发表时间）