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» Semiautomatic Labelling of Semantic Features
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CVPR
2010
IEEE
14 years 3 months ago
Tag-based Web Photo Retrieval Improved by Batch Mode Re-Tagging
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...
Lin Chen, Dong Xu, Wai-Hung Tsang, Jiebo Luo
CIVR
2007
Springer
160views Image Analysis» more  CIVR 2007»
14 years 1 months ago
Automatic image annotation by an iterative approach: incorporating keyword correlations and region matching
Automatic image annotation automatically labels image content with semantic keywords. For instance, the Relevance Model estimates the joint probability of the keyword and the imag...
Xiangdong Zhou, Mei Wang, Qi Zhang, Junqi Zhang, B...
MIR
2004
ACM
171views Multimedia» more  MIR 2004»
14 years 1 months ago
Mean version space: a new active learning method for content-based image retrieval
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...
Jingrui He, Hanghang Tong, Mingjing Li, HongJiang ...
IBPRIA
2009
Springer
14 years 5 days ago
Large Scale Online Learning of Image Similarity through Ranking
ent abstract presents OASIS, an Online Algorithm for Scalable Image Similarity learning that learns a bilinear similarity measure over sparse representations. OASIS is an online du...
Gal Chechik, Varun Sharma, Uri Shalit, Samy Bengio
PODS
1999
ACM
160views Database» more  PODS 1999»
13 years 12 months ago
Queries with Incomplete Answers over Semistructured Data
Semistructured data occur in situations where information lacks a homogeneous structure and is incomplete. Yet, up to now the incompleteness of information has not been re ected b...
Yaron Kanza, Werner Nutt, Yehoshua Sagiv