Search results for key=MMS2001 : 1 match found.

2001

• @article{MMS2001,
  	vgclass =	{refpap},
  	vgproject =	{cbir,viper},
  	author =	{Henning M\"{u}ller and Wolfgang M\"{u}ller and David McG.\
  	Squire and St\'{e}phane Marchand-Maillet and Thierry Pun},
  	title =	{Performance Evaluation in Content-Based Image Retrieval: {O}verview and Proposals},
  	journal =	{Pattern Recognition Letters},
  	volume =	{22},
  	number =	{5},
  	pages =	{593--601},
  	year =	{2001},
  	note =	{(special issue on Image/Video Indexing and Retrieval)},
  	doi =	{http://dx.doi.org/10.1016/S0167-8655(00)00118-5},
  	url1 =	{/publications/postscript/2000/MuellerHMuellerWSquireMarchandPun_prl2000.ps.gz},
  	url2 =	{/publications/postscript/2000/MuellerHMuellerWSquireMarchandPun_prl2000.pdf},
  	abstract =	{Evaluation of retrieval performance is a crucial problem
  	in content-based image retrieval (CBIR).  Many different methods for
  	measuring the performance of a system have been created and used by
  	researchers.  This article discusses the advantages and shortcomings of
  	the performance measures currently used.  Problems such as defining a
  	common image database for performance comparisons and a means of
  	getting relevance judgments (or ground truth) for queries are
  	explained.
  
  	The relationship between CBIR and information retrieval (IR) is made
  	clear, since IR researchers have decades of experience with the
  	evaluation problem.  Many of their solutions can be used for CBIR,
  	despite the differences between the fields.  Several methods used in
  	text retrieval are explained. Proposals for performance measures and
  	means of developing a standard test suite for CBIR, similar to that
  	used in IR at the annual Text REtrieval Conference (TREC), are
  	presented.},
  }