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» Annotating Images by Mining Image Search Results
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JCDL
2003
ACM
195views Education» more  JCDL 2003»
15 years 11 months ago
An Application of Multiple Viewpoints to Content-Based Image Retrieval
Content-based image retrieval uses features that can be extracted from the images themselves. Using more than one representation of the images in a collection can improve the resu...
James C. French, A. C. Chapin, Worthy N. Martin
ICDM
2006
IEEE
135views Data Mining» more  ICDM 2006»
16 years 7 days ago
SAXually Explicit Images: Finding Unusual Shapes
Among the visual features of multimedia content, shape is of particular interest because humans can often recognize objects solely on the basis of shape. Over the past three decad...
Li Wei, Eamonn J. Keogh, Xiaopeng Xi
MM
2004
ACM
151views Multimedia» more  MM 2004»
15 years 11 months ago
Affinity relation discovery in image database clustering and content-based retrieval
In this paper, we propose a unified framework, called Markov Model Mediator (MMM), to facilitate image database clustering and to improve the query performance. The structure of t...
Mei-Ling Shyu, Shu-Ching Chen, Min Chen, Chengcui ...
NIPS
2004
15 years 7 months ago
Instance-Based Relevance Feedback for Image Retrieval
High retrieval precision in content-based image retrieval can be attained by adopting relevance feedback mechanisms. These mechanisms require that the user judges the quality of t...
Giorgio Giacinto, Fabio Roli
ICMCS
2006
IEEE
144views Multimedia» more  ICMCS 2006»
16 years 6 days ago
Using Implicit Relevane Feedback to Advance Web Image Search
Although relevance feedback has been extensively studied in content-based image retrieval in the academic area, no commercial web image search engine has employed the idea. There ...
En Cheng, Feng Jing, Mingjing Li, Wei-Ying Ma, Hai...