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MTA
2002
166views more  MTA 2002»
13 years 9 months ago
MUSE: A Content-Based Image Search and Retrieval System Using Relevance Feedback
ThefieldofContent-BasedVisualInformationRetrieval(CBVIR)hasexperiencedtremendousgrowth in the recent years and many research groups are currently working on solutions to the proble...
Oge Marques, Borko Furht
IPTPS
2005
Springer
14 years 3 months ago
Arpeggio: Metadata Searching and Content Sharing with Chord
Arpeggio is a peer-to-peer file-sharing network based on the Chord lookup primitive. Queries for data whose metadata matches a certain criterion are performed efficiently by using...
Austin T. Clements, Dan R. K. Ports, David R. Karg...
ICMCS
2006
IEEE
124views Multimedia» more  ICMCS 2006»
14 years 4 months ago
Content-Free Image Retrieval using Bayesian Product Rule
Content-free image retrieval uses accumulated user feedback records to retrieve images without analyzing image pixels. We present a Bayesian-based algorithm to analyze user feedba...
David Liu, Tsuhan Chen
CIVR
2005
Springer
107views Image Analysis» more  CIVR 2005»
14 years 3 months ago
Content-Free Image Retrieval by Combinations of Keywords and User Feedbacks
The performance of a new content-free approach to image retrieval is demonstrated. Accumulated user feedback data that specify which images are (ir)relevant to each other and keywo...
Shingo Uchihashi, Takeo Kanade
JCDL
2003
ACM
195views Education» more  JCDL 2003»
14 years 3 months ago
An Application of Multiple Viewpoints to Content-Based Image Retrieval
Content-based image retrieval uses features that can be extracted from the images themselves. Using more than one representation of the images in a collection can improve the resu...
James C. French, A. C. Chapin, Worthy N. Martin