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MTA
2000
165views more  MTA 2000»
13 years 7 months ago
Approximating Content-Based Object-Level Image Retrieval
Object-level image retrieval is an active area of research. Given an image, a human observerdoesnot see randomdots of colors. Rather,he she observesfamiliarobjectsin the image. The...
Wynne Hsu, Tat-Seng Chua, Hung Keng Pung
ISBI
2006
IEEE
14 years 8 months ago
Automatic landmark detection in uterine cervix images for indexing in a content-retrieval system
This work is motivated by the need for visual information extraction and management in the growing field of content based image retrieval from medical archives. In particular it f...
Gali Zimmerman, Shiri Gordon, Hayit Greenspan
SPIESR
1998
195views Database» more  SPIESR 1998»
13 years 9 months ago
Relevance Feedback Techniques in Interactive Content-Based Image Retrieval
Content-Based Image Retrieval (CBIR) has become one of the most active research areas in the past few years. Many visual feature representations have been explored and many system...
Yong Rui, Thomas S. Huang, Sharad Mehrotra
ICMCS
2000
IEEE
137views Multimedia» more  ICMCS 2000»
14 years 2 days ago
Automatic Query Generation for Content-Based Image Retrieval
We describe a subsystem of a content-based image retrieval (CBIR) environment that supports a user in the definition of image similarity. Out of a single image or a set of query i...
Christian Breiteneder, Horst Eidenberger
ICTIR
2009
Springer
14 years 2 months ago
A Four-Factor User Interaction Model for Content-Based Image Retrieval
In order to bridge the “Semantic gap”, a number of relevance feedback (RF) mechanisms have been applied to content-based image retrieval (CBIR). However current RF techniques i...
Haiming Liu 0002, Victoria S. Uren, Dawei Song, St...