Please use this identifier to cite or link to this item:

Hill Climbing Algorithms for Content-Based Retrieval of Similar Configurations

Authors Papadias, Dimitris View this author's profile
Issue Date 2000
Source SIGIR Forum (ACM Special Interest Group on Information Retrieval) , 2000, p. 240-247
Summary The retrieval of stored images matching an input configuration is an important form of content-based retrieval. Exhaustive processing (i.e., retrieval of the best solutions) of configuration similarity queries is, in general, exponential and fast search for sub-optimal solutions is the only way to deal with the vast (and ever increasing) amounts of multimedia information in several real-time applications. In this paper we discuss the utilization of hill climbing heuristics that can provide very good results within limited processing time. We propose several heuristics, which differ on the way that they search through the solution space, and identify the best ones depending on the query and image characteristics. Finally we develop new algorithms that take advantage of the specific structure of the problem to improve performance.
Note Proceedings of the 23rd International ACM SIGIR Conference on Research and Development in Infornation Retrieval (SIGIR 2000); Athens, Greece; 24-28 July 2000; Code 57606
ISSN 0163-5840
Rights © ACM, 2000. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Proceedings of the 23rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Athens, Greece, 24-28 July, 2000, ACM Press, New York, USA, 2000, p. 240-247
Language English
Format Conference paper
Access View full-text via DOI
View full-text via Scopus
Files in this item:
File Description Size Format
sigir00.pdf 83427 B Adobe PDF