The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Novel Indexing Method of Relations Between Salient Objects
|
|
Author(s): R. Chbeir (Laboratoire Electronique Informatique et Image, Universite de Bourgogne, France), Y. Amghar (Laboratoire d’Ingeniere des Systemes d’Information, INSA de Lyon, France)and A. Flory (Laboratoire d’Ingeniere des Systemes d’Information, INSA de Lyon, France)
Copyright: 2003
Pages: 9
Source title:
Effective Databases for Text & Document Management
Source Author(s)/Editor(s): Shirley Becker (Northern Arizona University, USA)
DOI: 10.4018/978-1-93177-747-6.ch011
Purchase
|
Abstract
Since the last decade, images have been integrated into several application domains such as GIS, medicine, etc. This integration necessitates new managing methods particularly in image retrieval. Queries should be formulated using different types of features such as low-level features of images (histograms, color distribution, etc.), spatial and temporal relations between salient objects, semantic features, etc. In this chapter, we propose a novel method for identifying and indexing several types of relations between salient objects. Spatial relations are used here to show how our method can provide high expressive power to relations in comparison to the traditional methods.
Related Content
|
Renjith V. Ravi, Mangesh M. Ghonge, P. Febina Beevi, Rafael Kunst.
© 2022.
24 pages.
|
|
Manimaran A., Chandramohan Dhasarathan, Arulkumar N., Naveen Kumar N..
© 2022.
20 pages.
|
|
Ram Singh, Rohit Bansal, Sachin Chauhan.
© 2022.
19 pages.
|
|
Subhodeep Mukherjee, Manish Mohan Baral, Venkataiah Chittipaka.
© 2022.
17 pages.
|
|
Vladimir Nikolaevich Kustov, Ekaterina Sergeevna Selanteva.
© 2022.
23 pages.
|
|
Krati Reja, Gaurav Choudhary, Shishir Kumar Shandilya, Durgesh M. Sharma, Ashish K. Sharma.
© 2022.
18 pages.
|
|
Nwosu Anthony Ugochukwu, S. B. Goyal.
© 2022.
23 pages.
|
|
|