507 search results - page 9 / 102 » Textural Features and Relevance Feedback for Image Retrieval |
105
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CISST
2004
15 years 1 months ago
2004
Probabilistic feature relevance learning (PFRL) is an effective method for adaptively computing local feature relevance in content-based image retrieval. It computes flexible retr...
115
Voted
CIVR
2005
Springer
15 years 5 months ago
2005
Springer
Abstract. Object movie refers to a set of images captured from different perspectives around a 3D object. Object movie is a good representation of a physical object because it can ...
ICMCS
2007
IEEE
15 years 6 months ago
2007
IEEE
This paper introduces a flexible learning approach for image retrieval with relevance feedback. A semantic repository is constructed offline by applying the k-nearest-neighborbase...
MM
2009
ACM
15 years 6 months ago
2009
ACM
Experiential image retrieval systems aim to provide the user with a natural and intuitive search experience. The goal is to empower the user to navigate large collections based on...
104
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CVPR
2006
IEEE
16 years 1 months ago
2006
IEEE
We present a Bayesian framework for content-based image retrieval which models the distribution of color and texture features within sets of related images. Given a userspecified ...