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ICITA
2005
IEEE
15 years 5 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...
BMVC
1998
15 years 1 months ago
A Comparative Study of Rotation Invariant Classification and Retrieval of Texture Images
This paper presents a detailed comparative study of 4 rotation invariant texture analysis methods. Human subjects are included as a benchmark for the computational methods. Experi...
Stephanie R. Fountain, Tieniu Tan, Keith D. Baker
MM
2004
ACM
173views Multimedia» more  MM 2004»
15 years 5 months ago
Cortina: a system for large-scale, content-based web image retrieval
Recent advances in processing and networking capabilities of computers have led to an accumulation of immense amounts of multimedia data such as images. One of the largest reposit...
Till Quack, Ullrich Mönich, Lars Thiele, B. S...
IFIP
2005
Springer
15 years 5 months ago
Content-Based Image Retrieval for Digital Forensics
Digital forensic investigators are often faced with the task of manually examining a large number of (photographic) images in order to identify potential evidence. The task can be...
Yixin Chen, Vassil Roussev, Golden G. Richard III,...
121
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MM
2009
ACM
187views Multimedia» more  MM 2009»
15 years 4 months ago
Convex experimental design using manifold structure for image retrieval
Content Based Image Retrieval (CBIR) has become one of the most active research areas in computer science. Relevance feedback is often used in CBIR systems to bridge the semantic ...
Lijun Zhang, Chun Chen, Wei Chen, Jiajun Bu, Deng ...