50 search results - page 7 / 10 » Pinview: Implicit Feedback in Content-Based Image Retrieval |
ICMCS
2000
IEEE
14 years 1 days ago
2000
IEEE
One of the difficulties of Content-Based Image Retrieval (CBIR) is the gap between high-level concepts and low-level image features, e.g., color and texture. Relevance feedback wa...
CIVR
2010
Springer
14 years 13 days ago
2010
Springer
This paper describes an approach to optimize query by visual example results, by combining visual features and implicit user feedback in interactive video retrieval. To this end, ...
ETRA
2010
ACM
14 years 2 months ago
2010
ACM
In order to help users navigate an image search system, one could provide explicit information on a small set of images as to which of them are relevant or not to their task. Thes...
ICDE
2006
IEEE
14 years 9 months ago
2006
IEEE
Today's Content-Based Image Retrieval (CBIR) techniques are based on the "k-nearest neighbors" (kNN) model. They retrieve images from a single neighborhood using lo...
ICMCS
2006
IEEE
14 years 1 months ago
2006
IEEE
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 ...