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PCM
2007
Springer
109views Multimedia» more  PCM 2007»
15 years 6 months ago
Modeling User Feedback Using a Hierarchical Graphical Model for Interactive Image Retrieval
Relevance feedback is an important mechanism for narrowing the semantic gap in content-based image retrieval and the process involves the user labeling positive and negative images...
Jian Guan, Guoping Qiu
CBMS
2003
IEEE
15 years 5 months ago
Retrieval by Content of Medical Images Using Texture for Tissue Identification
This work aims at supporting the retrieval and indexing of medical images by extracting and organizing intrinsic features of them, more specifically texture attributes from images...
Joaquim Cezar Felipe, Agma J. M. Traina, Caetano T...
ICB
2009
Springer
116views Biometrics» more  ICB 2009»
15 years 4 months ago
Face Video Competition
Person recognition using facial features, e.g., mug-shot images, has long been used in identity documents. However, due to the widespread use of web-cams and mobile devices embedde...
Norman Poh, Chi-Ho Chan, Josef Kittler, Séb...
CLEF
2004
Springer
15 years 5 months ago
Toward Cross-Language and Cross-Media Image Retrieval
This report describes the approach used in our participation of ImageCLEF. Our focus is on image retrieval using text, i.e. Cross-Media IR. To do this, we first determine the str...
Carmen Alvarez, Ahmed Id Oumohmed, Max Mignotte, J...
CISST
2004
164views Hardware» more  CISST 2004»
15 years 1 months ago
Probabilistic Region Relevance Learning for Content-Based Image Retrieval
Probabilistic feature relevance learning (PFRL) is an effective method for adaptively computing local feature relevance in content-based image retrieval. It computes flexible retr...
Iker Gondra, Douglas R. Heisterkamp