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» Image Retrieval and Annotation Using Maximum Entropy
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CHI
2007
ACM
14 years 8 months ago
Why we tag: motivations for annotation in mobile and online media
Why do people tag? Users have mostly avoided annotating media such as photos ? both in desktop and mobile environments ? despite the many potential uses for annotations, including...
Morgan Ames, Mor Naaman
SIGIR
2006
ACM
14 years 1 months ago
A framework to predict the quality of answers with non-textual features
New types of document collections are being developed by various web services. The service providers keep track of non-textual features such as click counts. In this paper, we pre...
Jiwoon Jeon, W. Bruce Croft, Joon Ho Lee, Soyeon P...
MMM
2009
Springer
93views Multimedia» more  MMM 2009»
14 years 4 months ago
SenseCam Image Localisation Using Hierarchical SURF Trees
The SenseCam is a wearable camera that automatically takes photos of the wearer’s activities, generating thousands of images per day. Automatically organising these images for eï...
Ciarán O. Conaire, Michael Blighe, Noel E. ...
CIVR
2007
Springer
158views Image Analysis» more  CIVR 2007»
13 years 11 months ago
How many high-level concepts will fill the semantic gap in news video retrieval?
A number of researchers have been building high-level semantic concept detectors such as outdoors, face, building, etc., to help with semantic video retrieval. Using the TRECVID v...
Alexander G. Hauptmann, Rong Yan, Wei-Hao Lin
TVCG
2002
135views more  TVCG 2002»
13 years 7 months ago
Three-Dimensional Interfaces for Querying by Example in Content-Based Image Retrieval
Image databases are nowadays widely exploited in a number of different contexts, ranging from history of art, through medicine, to education. Existing querying paradigms are based ...
Jürgen Assfalg, Alberto Del Bimbo, Pietro Pal...