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CVPR
2005
IEEE
16 years 1 months ago
Evaluating Image Retrieval
We present a comprehensive strategy for evaluating image retrieval algorithms. Because automated image retrieval is only meaningful in its service to people, performance character...
Nikhil V. Shirahatti, Kobus Barnard
CIVR
2007
Springer
119views Image Analysis» more  CIVR 2007»
15 years 6 months ago
An in-memory relevance feedback technique for high-performance image retrieval systems
Content-based image retrieval with relevant feedback has been widely adopted as the query model of choice for improved effectiveness in image retrieval. The effectiveness of thi...
Ning Yu, Khanh Vu, Kien A. Hua
IMCSIT
2010
14 years 9 months ago
Quality Benchmarking Relational Databases and Lucene in the TREC4 Adhoc Task Environment
The present work covers a comparison of the text retrieval qualities of open source relational databases and Lucene, which is a full text search engine library, over English docume...
Ahmet Arslan, Ozgur Yilmazel
CIVR
2007
Springer
103views Image Analysis» more  CIVR 2007»
15 years 6 months ago
The value of stories for speech-based video search
Anecdotal evidence suggests that story-level information is important for the speech component of video retrieval. In this paper we perform a systematic examination of the combina...
Bouke Huurnink, Maarten de Rijke
ICARCV
2006
IEEE
232views Robotics» more  ICARCV 2006»
15 years 5 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