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BMVC
2010
13 years 5 months ago
Evaluation of dimensionality reduction methods for image auto-annotation
Image auto-annotation is a challenging task in computer vision. The goal of this task is to predict multiple words for generic images automatically. Recent state-of-theart methods...
Hideki Nakayama, Tatsuya Harada, Yasuo Kuniyoshi
VIP
2003
13 years 8 months ago
Using Dual Cascading Learning Frameworks for Image Indexing
To bridge the semantic gap in content-based image retrieval, detecting meaningful visual entities (e.g. faces, sky, foliage, buildings etc) in image content and classifying images...
Joo-Hwee Lim, Jesse S. Jin
ECIR
2009
Springer
14 years 4 months ago
Split and Merge Based Story Segmentation in News Videos
Abstract. Segmenting videos into smaller, semantically related segments which ease the access of the video data is a challenging open research. In this paper, we present a scheme f...
Anuj Goyal, P. Punitha, Frank Hopfgartner, Joemon ...
MMM
2006
Springer
130views Multimedia» more  MMM 2006»
14 years 1 months ago
Detailed audiovisual profile: enabling interoperability between MPEG-7 based systems
MPEG-7 is an excellent choice for the description of audiovisual content due to its flexibility and comprehensiveness. The drawback is that these properties also increase the comp...
Werner Bailer, Peter Schallauer
SIGIR
2005
ACM
14 years 29 days ago
A database centric view of semantic image annotation and retrieval
We introduce a new model for semantic annotation and retrieval from image databases. The new model is based on a probabilistic formulation that poses annotation and retrieval as c...
Gustavo Carneiro, Nuno Vasconcelos