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» Learning in Region-Based Image Retrieval
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CIVR
2006
Springer
181views Image Analysis» more  CIVR 2006»
14 years 19 days ago
Image Searching and Browsing by Active Aspect-Based Relevance Learning
Aspect-based relevance learning is a relevance feedback scheme based on a natural model of relevance in terms of image aspects. In this paper we propose a number of active learning...
Mark J. Huiskes
ECCV
2010
Springer
14 years 1 months ago
Learning a Fine Vocabulary
We present a novel similarity measure for bag-of-words type large scale image retrieval. The similarity function is learned in an unsupervised manner, requires no extra space over ...
PAMI
2012
11 years 11 months ago
IntentSearch: Capturing User Intention for One-Click Internet Image Search
—Web-scale image search engines (e.g. Google Image Search, Bing Image Search) mostly rely on surrounding text features. It is difficult for them to interpret users’ search int...
Xiaoou Tang, Ke Liu, Jingyu Cui, Fang Wen, Xiaogan...
MLDM
2001
Springer
14 years 1 months ago
Adaptive Query Shifting for Content-Based Image Retrieval
: 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...
Giorgio Giacinto, Fabio Roli, Giorgio Fumera
CVPR
2011
IEEE
13 years 4 months ago
Hierarchical Semantic Indexing for Large Scale Image Retrieval
This paper addresses the problem of similar image retrieval, especially in the setting of large-scale datasets with millions to billions of images. The core novel contribution is ...
Jia Deng, Alexander Berg, Li Fei-Fei