Cai-Zhi Zhu
ABSTRACT
Broadcast TV program is a quite informative media resource which records our daily life over the time. While for emphasizing real-time reporting, those out-of-date video archives once were elaborately created with high quality are always left without being fully used. In this paper, many known state-of-the-art retrieval technologies are integrated into a commercial film retrieval system, which manages to index a huge commercial dataset archived from five TV channels within recent three years. The final purpose is to connect images queried by users with our archived broadcast video dataset via searching relevant commercials and accessing their broadcast information, such as air time and replay frequency. This system also serves as one part of our ongoing broadcast TV program reusing project.
- R. Arandjelovic and A. Zisserman. Three things everyone should know to improve object retrieval. CVPR, 2012. Google Scholar
Digital Library
- O. Chum, J. Matas, and J. Kittler, Locally Optimized RANSAC. DAGM-Symposium. 2003.Google Scholar
- C.-Z. Zhu and S. Satoh. Large vocabulary quantization for searching instances from videos. ICMR, 2012. Google ScholarDigital Library
- X. Wu and S. Satoh, Commercial mining based on temporal recurrence hashing algorithm and bag-of-fingerprints model. ICIP, 2011.Google Scholar
- D. Le, C.-Z. Zhu, S. Poullot, et al. National Institute of Informatics, Japan at TRECVID 2011. TRECVID, 2011.Google Scholar
Index Terms
- Connect commercial films with realities
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