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» A Novel Method for Video Retrieval Using Relevant Feedback
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CIKM
2009
Springer
14 years 1 months ago
Adaptive relevance feedback in information retrieval
Relevance Feedback has proven very effective for improving retrieval accuracy. A difficult yet important problem in all relevance feedback methods is how to optimally balance the...
Yuanhua Lv, ChengXiang Zhai
MM
2006
ACM
181views Multimedia» more  MM 2006»
14 years 20 days 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
ECAI
2000
Springer
13 years 11 months ago
Similarity-based Approach to Relevance Learning
In several information retrieval (IR) systems there is a possibility for user feedback. Many machine learning methods have been proposed that learn from the feedback information in...
Rickard Cöster, Lars Asker
JSS
2008
217views more  JSS 2008»
13 years 6 months ago
MUSEMBLE: A novel music retrieval system with automatic voice query transcription and reformulation
So far, many researches have been done to develop efficient music retrieval systems, and query-by-humming has been considered as one of the most intuitive and effective query meth...
Seungmin Rho, Byeong-jun Han, Eenjun Hwang, Minkoo...
ECIR
2006
Springer
13 years 8 months ago
Supporting Relevance Feedback in Video Search
Abstract. WWW Video Search Engines have become increasingly commonplace within the last few years and at the same time video retrieval research has been receiving more attention wi...
Cathal Gurrin, Dag Johansen, Alan F. Smeaton