DAGM
2010
Springer
13 years 4 months ago
2010
Springer
Content-based image retrieval requires a natural image (e.g, a photo) as query, but the absence of such a query image is usually the reason for a search. An easy way to express the...
AMT
2010
Springer
13 years 4 months ago
2010
Springer
One of the fundamental challenges in designing an image retrieval system is choosing a method by which the images that match a given query are presented to the searcher. Traditiona...
DICTA
2009
13 years 5 months ago
2009
Image data is as common as textual data in this digital world. There is an urgent demand of image management tools as efficient as those text search engines. Decades of research on...
SPIESR
1997
13 years 5 months ago
1997
In this paper we address image retrieval by similarity in multimedia databases. We discuss the generation and use of signatures computed from image content. The proposed technique...
WSCG
2003
13 years 5 months ago
2003
Image retrieval can be considered as a classification problem. Classification is usually based on some image features. In the feature extraction image segmentation is commonly use...
SPIESR
2003
13 years 5 months ago
2003
In an earlier study a Semantic Content Based Image Retrieval system was developed. The system requires a Visual Object Process Diagram - VOPD to be created for each image in the d...
MSV
2004
13 years 5 months ago
2004
The main research in the area of image databases addresses the improvement of retrieval quality and the speedup of the query processing. A number of image retrieval systems reache...
IADIS
2004
13 years 5 months ago
2004
The first image retrieval systems hold the advantage of being fully automatic, and thus scalable to large collections of images but are restricted to the representation of low-lev...
CISST
2004
13 years 6 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 ...
CISST
2004
13 years 6 months ago
2004
Probabilistic feature relevance learning (PFRL) is an effective method for adaptively computing local feature relevance in content-based image retrieval. It computes flexible retr...