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» Image Retrieval and Annotation Using Maximum Entropy
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101
Voted
CIVR
2010
Springer
254views Image Analysis» more  CIVR 2010»
15 years 2 months ago
Video scene analysis of interactions between humans and vehicles using event context
In this paper, we present a methodology to estimate a detailed state of a video scene involving multiple humans and vehicles. In order to annotate and retrieve videos containing a...
M. S. Ryoo, Jong Taek Lee, Jake K. Aggarwal
ACL
2006
14 years 11 months ago
Morphological Richness Offsets Resource Demand - Experiences in Constructing a POS Tagger for Hindi
In this paper we report our work on building a POS tagger for a morphologically rich language- Hindi. The theme of the research is to vindicate the stand that- if morphology is st...
Smriti Singh, Kuhoo Gupta, Manish Shrivastava, Pus...
MIR
2010
ACM
264views Multimedia» more  MIR 2010»
15 years 4 months ago
Quest for relevant tags using local interaction networks and visual content
Typical tag recommendation systems for photos shared on social networks such as Flickr, use visual content analysis, collaborative filtering or personalization strategies to prod...
Neela Sawant, Ritendra Datta, Jia Li, James Ze Wan...
MM
2004
ACM
164views Multimedia» more  MM 2004»
15 years 3 months ago
Mobile media metadata: metadata creation system for mobile images
In the 2003, more camera phones were sold worldwide than digital cameras. With this new platform, we can leverage regularities in the spatio-temporal context and social community ...
Marc Davis
70
Voted
MM
2003
ACM
132views Multimedia» more  MM 2003»
15 years 2 months ago
On image auto-annotation with latent space models
Image auto-annotation, i.e., the association of words to whole images, has attracted considerable attention. In particular, unsupervised, probabilistic latent variable models of t...
Florent Monay, Daniel Gatica-Perez