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CIVR
2005
Springer
165views Image Analysis» more  CIVR 2005»
13 years 9 months ago
The Use and Utility of High-Level Semantic Features in Video Retrieval
Abstract. This paper investigates the applicability of high-level semantic features for video retrieval using the benchmarked data from TRECVID 2003 and 2004, addressing the contri...
Michael G. Christel, Alexander G. Hauptmann
CIVR
2006
Springer
139views Image Analysis» more  CIVR 2006»
13 years 10 months ago
Using High-Level Semantic Features in Video Retrieval
Extraction and utilization of high-level semantic features are critical for more effective video retrieval. However, the performance of video retrieval hasn't benefited much d...
Wujie Zheng, Jianmin Li, Zhangzhang Si, Fuzong Lin...
CIVR
2006
Springer
106views Image Analysis» more  CIVR 2006»
13 years 10 months ago
Video Retrieval Using High Level Features: Exploiting Query Matching and Confidence-Based Weighting
Abstract. Recent research in video retrieval has focused on automated, highlevel feature indexing on shots or frames. One important application of such indexing is to support preci...
Shi-Yong Neo, Jin Zhao, Min-Yen Kan, Tat-Seng Chua
CVPR
2008
IEEE
14 years 9 months ago
Utilizing semantic word similarity measures for video retrieval
This is a high level computer vision paper, which employs concepts from Natural Language Understanding in solving the video retrieval problem. Our main contribution is the utiliza...
Yusuf Aytar, Mubarak Shah, Jiebo Luo
MMM
2005
Springer
159views Multimedia» more  MMM 2005»
14 years 20 days ago
Region-Based Image Retrieval with High-Level Semantic Color Names
Performance of traditional content-based image retrieval systems is far from user’s expectation due to the ‘semantic gap’ between low-level visual features and the richness ...
Ying Liu, Dengsheng Zhang, Guojun Lu, Wei-Ying Ma