35 search results - page 6 / 7 » Learning to reduce the semantic gap in web image retrieval a... |
MIR
2004
ACM
13 years 10 months ago
2004
ACM
In content-based image retrieval, relevance feedback has been introduced to narrow the gap between low-level image feature and high-level semantic concept. Furthermore, to speed u...
MLDM
2001
Springer
13 years 9 months ago
2001
Springer
: Despite the efforts to reduce the semantic gap between user perception of similarity and featurebased representation of images, user interaction is essential to improve retrieval...
CVPR
2010
IEEE
14 years 1 months ago
2010
IEEE
Web photos in social media sharing websites such as Flickr are generally accompanied by rich but noisy textual descriptions (tags, captions, categories, etc.). In this paper, we p...
MM
2009
ACM
13 years 11 months ago
2009
ACM
In this paper, we exploit the problem of inferring images’ semantic concepts from community-contributed images and their associated noisy tags. To infer the concepts more accura...
MMDB
2003
ACM
13 years 10 months ago
2003
ACM
Recent research effort in Content-Based Image Retrieval (CBIR) focuses on bridging the gap between low-level features and highlevel semantic contents of images as this gap has bec...