Paper
2 December 2011 Face-sets based video shot retrieval using the text-search analogous approach
Rui Liu, Haiyang Zhen, Ming Zhu
Author Affiliations +
Proceedings Volume 8004, MIPPR 2011: Pattern Recognition and Computer Vision; 800417 (2011) https://doi.org/10.1117/12.902752
Event: Seventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2011), 2011, Guilin, China
Abstract
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.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Rui Liu, Haiyang Zhen, and Ming Zhu "Face-sets based video shot retrieval using the text-search analogous approach", Proc. SPIE 8004, MIPPR 2011: Pattern Recognition and Computer Vision, 800417 (2 December 2011); https://doi.org/10.1117/12.902752
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KEYWORDS
Video

Video surveillance

Visualization

Feature extraction

Mouth

Nose

Automatic tracking

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