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ECCV
2008
Springer
14 years 9 months ago
Determining Patch Saliency Using Low-Level Context
The increased use of context for high level reasoning has been popular in recent works to increase recognition accuracy. In this paper, we consider an orthogonal application of con...
Devi Parikh, C. Lawrence Zitnick, Tsuhan Chen
SIBGRAPI
2003
IEEE
14 years 29 days ago
Effective Image Retrieval by Shape Saliences
Content-Based Image Retrieval (CBIR) systems have been developed aiming at enabling users to search and retrieve images based on their properties such as shape, color and texture....
Ricardo da Silva Torres, Eduardo M. Picado, Alexan...
IS
2010
13 years 6 months ago
VISTO: A new CBIR system for vector images
In this paper, we present the main features of VISTO (Vector Image Serach TOol), a new Content-Based Image Retrieval (CBIR) system for vector images. Though unsuitable for photore...
Tania Di Mascio, Daniele Frigioni, Laura Tarantino
RIAO
2007
13 years 9 months ago
Similarity Beyond Distance Measurement
One of the keys issues to content-based image retrieval is the similarity measurement of images. Images are represented as points in the space of low-level visual features and mos...
Feng Kang, Rong Jin, Steven C. H. Hoi
MM
2004
ACM
167views Multimedia» more  MM 2004»
14 years 1 months ago
Learning an image manifold for retrieval
We consider the problem of learning a mapping function from low-level feature space to high-level semantic space. Under the assumption that the data lie on a submanifold embedded ...
Xiaofei He, Wei-Ying Ma, HongJiang Zhang