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» Comparing relevance feedback algorithms for web search
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ICMCS
2005
IEEE
134views Multimedia» more  ICMCS 2005»
14 years 1 months ago
Relevance Feedback Methods in Content Based Retrieval and Video Summarization
In the current state-of-the-art in multimedia content analysis (MCA), the fundamental techniques are typically derived from core pattern recognition and computer vision algorithms...
Micha Haas, Ard Oerlemans, Michael S. Lew
WEBI
2010
Springer
13 years 5 months ago
Let's Trust Users It is Their Search
The current search engine model considers users not trustworthy, so no tools are provided to let them specify what they are looking for or in what context, which severely limits wh...
Pavel Kalinov, Bela Stantic, Abdul Sattar
MM
2006
ACM
181views Multimedia» more  MM 2006»
14 years 1 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
ICARCV
2006
IEEE
232views Robotics» more  ICARCV 2006»
14 years 1 months ago
Analysis of Relevance Feedback in Content Based Image Retrieval
: Relevance feedback in Content Based Image Retrieval(CBIR) has been an active field of research for quite some time now. Many schemes and techniques of relevance feedback exist w...
P. Suman Karthik, C. V. Jawahar
SIGIR
2011
ACM
12 years 10 months ago
Utilizing minimal relevance feedback for ad hoc retrieval
Using relevance feedback can significantly improve (ad hoc) retrieval effectiveness. Yet, if little feedback is available, effectively exploiting it is a challenge. To that end,...
Eyal Krikon, Oren Kurland