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Benchmarking image and video retrieval: an overview

Published: 26 October 2006 Publication History

Abstract

Multimedia Information Retrieval (IR)techniques and associated systems are now numerous and justify the development of strategies and actions to objectively evaluate their capabilities. A number of initiatives following this line exist, each with its own peculiarities. In this paper, we take a bird's eye view on benchmarking multimedia IR systems (with the particular case of image and video retrieval)and summarize contributions made to a dedicated special session at the ACM Multimedia Information Retrieval Workshop (ACM MIR2006).From the analysis of a classical IR system, we identify locations of interest for evaluation of performance.We review proposals made in the context of existing benchmarks, each specialized in its own aspect and media.

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cover image ACM Conferences
MIR '06: Proceedings of the 8th ACM international workshop on Multimedia information retrieval
October 2006
344 pages
ISBN:1595934952
DOI:10.1145/1178677
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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New York, NY, United States

Publication History

Published: 26 October 2006

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Author Tags

  1. evaluation
  2. image
  3. information retrieval
  4. multimedia
  5. video

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MM06
MM06: The 14th ACM International Conference on Multimedia 2006
October 26 - 27, 2006
California, Santa Barbara, USA

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  • (2015)Video BenchLabProceedings of the 6th ACM Multimedia Systems Conference10.1145/2713168.2723145(165-176)Online publication date: 18-Mar-2015
  • (2012)Interactive search in image retrieval: a surveyInternational Journal of Multimedia Information Retrieval10.1007/s13735-012-0014-41:2(71-86)Online publication date: 8-Jun-2012
  • (2012)Image similarityMultimedia Tools and Applications10.1007/s11042-010-0562-757:1(5-27)Online publication date: 1-Mar-2012
  • (2011)Evaluation platform for content-based image retrieval systemsProceedings of the 15th international conference on Theory and practice of digital libraries: research and advanced technology for digital libraries10.5555/2042536.2042556(130-142)Online publication date: 26-Sep-2011
  • (2011)Semantic analysis and retrieval in personal and social photo collectionsMultimedia Tools and Applications10.1007/s11042-010-0673-151:1(5-33)Online publication date: 1-Jan-2011
  • (2011)Evaluation Platform for Content-Based Image Retrieval SystemsResearch and Advanced Technology for Digital Libraries10.1007/978-3-642-24469-8_15(130-142)Online publication date: 2011
  • (2010)Signature Quadratic Form DistanceProceedings of the ACM International Conference on Image and Video Retrieval10.1145/1816041.1816105(438-445)Online publication date: 5-Jul-2010
  • (2010)A comparative study of similarity measures for content-based multimedia retrieval2010 IEEE International Conference on Multimedia and Expo10.1109/ICME.2010.5582949(1552-1557)Online publication date: Jul-2010
  • (2010)A model for predicting image search engine behaviourThe 3rd International Conference on Information Sciences and Interaction Sciences10.1109/ICICIS.2010.5534815(306-311)Online publication date: Jun-2010
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