SPIESR
1998
13 years 5 months ago
1998
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...
MVA
2000
13 years 5 months ago
2000
Content-based image retrieval is a fairly new discipline. Yet research in this field has highlighted many approaches that show good performance in specific subproblems using singl...
PRIS
2001
13 years 5 months ago
2001
This paper presents an approach for content-based image retrieval via isotropic and anisotropic mappings. Isotropic mappings are defined to be mappings invariant to the action of t...
NIPS
2004
13 years 5 months ago
2004
High retrieval precision in content-based image retrieval can be attained by adopting relevance feedback mechanisms. These mechanisms require that the user judges the quality of t...
CISST
2004
13 years 5 months ago
2004
Abstract Compressed domain image retrieval is going to play an increasingly important role in the future. It allows the calculation of image features and hence content-based image ...
RIAO
2007
13 years 5 months ago
2007
One of the keys issues to content-based image retrieval is the similarity measurement of images. Images are represented as points in the space of low-level visual features and mos...
MEDINFO
2007
13 years 5 months ago
2007
There is a significant increase in the use of medical images in clinical medicine, disease research, and education. While the literature lists several successful systems for conte...
BILDMED
2007
13 years 6 months ago
2007
Abstract. Contemporary picture archiving and communication systems are limited in managing large and varied image collections, because content-based image retrieval (CBIR) methods ...
CLEF
2008
Springer
13 years 6 months ago
2008
Springer
Abstract. The ImageCLEF 2008 medical image annotation task is designed to assess the quality of content-based image retrieval and image classification by means of global signatures...
CLEF
2008
Springer
13 years 6 months ago
2008
Springer
This paper describes our participation in the Medical Image Retrieval task of Image CLEF 2008. Our aim was to evaluate different combination methods for purely textual and visual ...