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» Features for Image Retrieval: A Quantitative Comparison
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ICIAP
2007
ACM
14 years 1 months ago
k-dimensional Size Functions for Shape Description and Comparison
This paper advises the use of k-dimensional size functions for comparison and retrieval in the context of multidimensional shapes, where by shape we mean something in two or highe...
Andrea Cerri, Silvia Biasotti, Daniela Giorgi
WWW
2008
ACM
14 years 8 months ago
Detecting image spam using visual features and near duplicate detection
Email spam is a much studied topic, but even though current email spam detecting software has been gaining a competitive edge against text based email spam, new advances in spam g...
Bhaskar Mehta, Saurabh Nangia, Manish Gupta 0002, ...
JAIR
2002
101views more  JAIR 2002»
13 years 7 months ago
Structured Knowledge Representation for Image Retrieval
We propose a structured approach to the problem of retrieval of images by content and present a description logic that has been devised for the semantic indexing and retrieval of ...
Eugenio Di Sciascio, Francesco M. Donini, Marina M...
CVPR
2000
IEEE
14 years 9 months ago
Optimizing Learning in Image Retrieval
Combining learning with vision techniques in interactive image retrieval has been an active research topic during the past few years. However, existing learning techniques either ...
Yong Rui, Thomas S. Huang
JUCS
2010
145views more  JUCS 2010»
13 years 6 months ago
Block-based Against Segmentation-based Texture Image Retrieval
Abstract: This paper concerns the best approach to the capture of local texture features for use in content-based image retrieval (CBIR) applications. From our previous work, two a...
Mohammad Faizal Ahmad Fauzi, Paul H. Lewis