Search results for key=SqP1997 : 1 match found.

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  • @inproceedings{SqP1997,
    	vgclass =	{refpap},
    	vgproject =	{viper,cbir},
    	author =	{David McG. Squire and Thierry Pun},
    	title =	{A Comparison of Human and Machine Assessments of Image
    	Similarity for the Organization of Image Databases},
    	booktitle =	{The 10th Scandinavian Conference on Image Analysis (SCIA'97)},
    	address =	{Lappeenranta, Finland},
    	pages =	{51--58},
    	month =	{June},
    	year =	{1997},
    	url =	{/publications/postscript/1997/SquirePun_scia97.pdf},
    	url1 =	{/publications/postscript/1997/},
    	abstract =	{There has recently been a significant interest in the
    	organization and \emph{content-based} querying of large images
    	databases.  Most frequently, the underlying hypothesis is that image
    	similarity can be characterized by low-level image features, without
    	further abstraction.  This assumes that there is sufficient agreement
    	between machine and human measures of image similarity for the database
    	to be useful.  We wish to assess the veracity of this assumption. To
    	this end, we develop measures of the agreement between two
    	partitionings of an image set; we show that it is vital to take chance
    	agreements into account.  We then use these measures to assess the
    	agreement between human subjects and a variety of machine clustering
    	techniques on a set of images.  The results can be used to select and
    	refine image distance measures for querying and organizing image