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MM
2006
ACM
181views Multimedia» more  MM 2006»
13 years 11 months ago
Towards content-based relevance ranking for video search
Most existing web video search engines index videos by file names, URLs, and surrounding texts. These types of video roughly describe the whole video in an abstract level without ...
Wei Lai, Xian-Sheng Hua, Wei-Ying Ma
MM
2003
ACM
116views Multimedia» more  MM 2003»
13 years 10 months ago
Negative pseudo-relevance feedback in content-based video retrieval
Video information retrieval requires a system to find information relevant to a query which may be represented simultaneously in different ways through a text description, audio...
Rong Yan, Alexander G. Hauptmann, Rong Jin
CIVR
2009
Springer
145views Image Analysis» more  CIVR 2009»
13 years 11 months ago
Jointly optimising relevance and diversity in image retrieval
In this paper we present a method to jointly optimise the relevance and the diversity of the results in image retrieval. Without considering diversity, image retrieval systems oft...
Thomas Deselaers, Tobias Gass, Philippe Dreuw, Her...
PCM
2001
Springer
144views Multimedia» more  PCM 2001»
13 years 9 months ago
Search for Multi-modality Data in Digital Libraries
Developing effective and efficient retrieval techniques for multimedia data is a challenging issue in building a digital library. Unlike most previously proposed retrieval approac...
Jun Yang 0003, Yueting Zhuang, Qing Li
ICMCS
2005
IEEE
221views Multimedia» more  ICMCS 2005»
13 years 10 months ago
A Multiple Instance Learning Approach for Content Based Image Retrieval Using One-Class Support Vector Machine
Multiple Instance Learning (MIL) is a special kind of supervised learning problem that has been studied actively in recent years. In this paper, we propose an approach based on On...
Chengcui Zhang, Xin Chen, Min Chen, Shu-Ching Chen...