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» Human Factors for Stereoscopic Images
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WWW
2011
ACM
14 years 4 months ago
A case for query by image and text content: searching computer help using screenshots and keywords
The multimedia information retrieval community has dedicated extensive research effort to the problem of content-based image retrieval (CBIR). However, these systems find their ma...
Tom Yeh, Brandyn White, Jose San Pedro, Boris Katz...
ICCV
2007
IEEE
15 years 11 months ago
Supervised Learning of Image Restoration with Convolutional Networks
Convolutional networks have achieved a great deal of success in high-level vision problems such as object recognition. Here we show that they can also be used as a general method ...
Viren Jain, Joseph F. Murray, Fabian Roth, Sriniva...
ASSETS
2009
ACM
15 years 4 months ago
Speaking through pictures: images vs. icons
People with aphasia, a condition that impairs the ability to understand or generate written or spoken language, are aided by assistive technology that helps them communicate throu...
Xiaojuan Ma, Jordan L. Boyd-Graber, Sonya S. Nikol...
MM
2004
ACM
129views Multimedia» more  MM 2004»
15 years 3 months ago
A novel log-based relevance feedback technique in content-based image retrieval
Relevance feedback has been proposed as an important technique to boost the retrieval performance in content-based image retrieval (CBIR). However, since there exists a semantic g...
Chu-Hong Hoi, Michael R. Lyu
CIVR
2007
Springer
119views Image Analysis» more  CIVR 2007»
15 years 4 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