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» Analysis of Relevance Feedback in Content Based Image Retrie...
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93
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MTA
2000
165views more  MTA 2000»
14 years 10 months ago
Approximating Content-Based Object-Level Image Retrieval
Object-level image retrieval is an active area of research. Given an image, a human observerdoesnot see randomdots of colors. Rather,he she observesfamiliarobjectsin the image. The...
Wynne Hsu, Tat-Seng Chua, Hung Keng Pung
CIVR
2004
Springer
213views Image Analysis» more  CIVR 2004»
15 years 4 months ago
Evaluation of Texture Features for Content-Based Image Retrieval
Abstract. We have carried out a detailed evaluation of the use of texture features in a query-by-example approach to image retrieval. We used 3 radically different texture feature...
Peter Howarth, Stefan M. Rüger
76
Voted
CIVR
2004
Springer
100views Image Analysis» more  CIVR 2004»
15 years 4 months ago
STRICT: An Image Retrieval Platform for Queries Based on Regional Content
This paper presents a CBIR system that is based on a segmented representation of image content. It compares regional features using fuzzy similarity, which have been shown to be ps...
Jean-François Omhover, Marcin Detyniecki
TVCG
2002
135views more  TVCG 2002»
14 years 10 months ago
Three-Dimensional Interfaces for Querying by Example in Content-Based Image Retrieval
Image databases are nowadays widely exploited in a number of different contexts, ranging from history of art, through medicine, to education. Existing querying paradigms are based ...
Jürgen Assfalg, Alberto Del Bimbo, Pietro Pal...
65
Voted
WSDM
2010
ACM
210views Data Mining» more  WSDM 2010»
15 years 8 months ago
Leveraging Temporal Dynamics of Document Content in Relevance Ranking
Many web documents are dynamic, with content changing in varying amounts at varying frequencies. However, current document search algorithms have a static view of the document con...
Jonathan L. Elsas, Susan T. Dumais