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» Mapping low-level image features to semantic concepts
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ITNG
2006
IEEE
14 years 1 months ago
Utilizing XML Schema for Describing and Querying Still Image Databases
In this paper, still images are modeled by hierarchical tree structures and object relational graphs. These modeling concepts can be described naturally using XML schema. We intro...
Kazem Taghva, Min Xu, Emma Regentova, Tom Nartker
ICPR
2008
IEEE
14 years 1 months ago
Block-diagonal form of distance matrix for region-based image retrieval
There are two substantial open issues in the field of the image retrieval: semantic gap between computationally extracted low-level features and human operated high-level concepts...
Dmitry Kinoshenko, Vladimir Mashtalir, Elena Yegor...
ICITA
2005
IEEE
14 years 1 months ago
Combining Diversity-Based Active Learning with Discriminant Analysis in Image Retrieval
Small-sample learning in image retrieval is a pertinent and interesting problem. Relevance feedback is an active area of research that seeks to find algorithms that are robust wi...
Charlie K. Dagli, ShyamSundar Rajaram, Thomas S. H...
ICASSP
2011
IEEE
12 years 11 months ago
Soundtrack classification by transient events
We present a method for video classification based on information in the soundtrack. Unlike previous approaches which describe the audio via statistics of mel-frequency cepstral ...
Courtenay V. Cotton, Daniel P. W. Ellis, Alexander...
APWEB
2006
Springer
13 years 11 months ago
Image Description Mining and Hierarchical Clustering on Data Records Using HR-Tree
Since we can hardly get semantics from the low-level features of the image, it is much more difficult to analyze the image than textual information on the Web. Traditionally, textu...
Congle Zhang, Sheng Huang, Gui-Rong Xue, Yong Yu