ImageRover: A Content-Based Image Browser for the World Wide Web


Autoria(s): Sclaroff, Stan; Taycher, Leonid; La Cascia, Marco
Data(s)

20/10/2011

20/10/2011

24/03/1997

Resumo

ImageRover is a search by image content navigation tool for the world wide web. To gather images expediently, the image collection subsystem utilizes a distributed fleet of WWW robots running on different computers. The image robots gather information about the images they find, computing the appropriate image decompositions and indices, and store this extracted information in vector form for searches based on image content. At search time, users can iteratively guide the search through the selection of relevant examples. Search performance is made efficient through the use of an approximate, optimized k-d tree algorithm. The system employs a novel relevance feedback algorithm that selects the distance metrics appropriate for a particular query.

National Science Foundation (IRI-9624168, CDA-9623865, CDA-89202936); Italian Ministry for University and Scientific Research

Identificador

Sclaroff, Stan; Taycher, Leonid; LaCascia, Marco. "ImageRover: A Content-Based Image Browser for the World Wide Web", Technical Report BUCS-1997-005, Computer Science Department, Boston University, March 24, 1997. [Available from: http://hdl.handle.net/2144/1606]

http://hdl.handle.net/2144/1606

Idioma(s)

en_US

Publicador

Boston University Computer Science Department

Relação

BUCS Technical Reports;BUCS-TR-1997-005

Palavras-Chave #Image databases #Query by image content #Content-based retrieval #World wide web search engines
Tipo

Technical Report