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CIVR
2004
Springer
213views Image Analysis» more  CIVR 2004»
14 years 27 days ago
Evaluation of Texture Features for Content-Based Image Retrieval
Abstract. We have carried out a detailed evaluation of the use of texture features in a query-by-example approach to image retrieval. We used 3 radically different texture feature...
Peter Howarth, Stefan M. Rüger
ICIAR
2004
Springer
14 years 26 days ago
Segmentation Using Saturation Thresholding and Its Application in Content-Based Retrieval of Images
We analyze some of the visual properties of the HSV (Hue, Saturation and Value) color space and develop an image segmentation technique using the results of our analysis. In our me...
A. Vadivel, M. Mohan, Shamik Sural, Arun K. Majumd...
VIP
2003
13 years 8 months ago
Relevance Feedback for Content-Based Image Retrieval Using Bayesian Network
Relevance feedback is a powerful query modification technique in the field of content-based image retrieval. The key issue in relevance feedback is how to effectively utilize the ...
Jing Xin, Jesse S. Jin
JUCS
2002
231views more  JUCS 2002»
13 years 7 months ago
Efficient Content-Based and Metadata Retrieval in Image Database
: Managing image data in a database system using metadata has been practiced since the last two decades. However, describing an image fully and adequately with metadata is practica...
Solomon Atnafu, Richard Chbeir, Lionel Brunie
ICPR
2000
IEEE
14 years 8 months ago
Feature Relevance Learning with Query Shifting for Content-Based Image Retrieval
Probabilistic feature relevance learning (PFRL) is an effective technique for adaptively computing local feature relevance for content-based image retrieval. It however becomes le...
Douglas R. Heisterkamp, Jing Peng, H. K. Dai