Search results for key=SqP1998 : 1 match found.

1998

• @article{SqP1998,
  	vgclass =	{refpap},
  	vgproject =	{viper,cbir},
  	author =	{David McG. Squire and Thierry Pun},
  	title =	{Assessing Agreement Between Human and Machine Clusterings
  	of Image Databases},
  	journal =	{Pattern Recognition},
  	volume =	{31},
  	number =	{12},
  	pages =	{1905--1919},
  	year =	{1998},
  	doi =	{https://doi.org/10.1016/S0031-3203(98)00028-4},
  	url =	{/publications/postscript/1997/VGTR97.03_SquirePun.pdf},
  	url1 =	{/publications/postscript/1997/VGTR97.03_SquirePun.ps.gz},
  	abstract =	{There is currently much interest in the organization and
  	\emph{content-based} querying image databases.  The usual hypothesis is
  	that image similarity can be characterized by low-level features,
  	without further abstraction.  This assumes that agreement between
  	machine and human measures of similarity is sufficient for the database
  	to be useful.  To assess this assumption, we develop measures of the
  	agreement between partitionings of an image set, showing that chance
  	agreements \emph{must} be considered.  These measures are used to
  	assess the agreement between human subjects and several machine
  	clustering techniques on an image set.  The results can be used to
  	select and refine distance measures for querying and organizing image
  	databases.},
  }