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ICPR
2010
IEEE
13 years 4 months ago
High-Level Feature Extraction Using SIFT GMMs and Audio Models
—We propose a statistical framework for high-level feature extraction that uses SIFT Gaussian mixture models (GMMs) and audio models. SIFT features were extracted from all the im...
Nakamasa Inoue, Tatsuhiko Saito, Koichi Shinoda, S...
TRECVID
2007
13 years 5 months ago
ENST/UOB/LU@TRECVID2007 HIGH LEVEL FEATURE EXTRACTION USING 2-LEVEL PIECEWISE GMM
We describe a high level feature extraction system for video. Video sequences are modeled using Gaussian Mixture Models. We have used those models in the past to segment video seq...
George Yazbek, Georges Kfoury, Gabriel Alam, Chafi...
TRECVID
2007
13 years 5 months ago
Eurecom at TRECVid 2007: Extraction of High-level Features
In this paper we describe our experiments for the high level features extraction task of TRECVid 2007. Our approach is different than previous submissions in that we have impleme...
Rachid Benmokhtar, Eric Galmar, Benoit Huet
PAA
2006
13 years 4 months ago
Audio-visual sports highlights extraction using Coupled Hidden Markov Models
We present our studies on the application of Coupled Hidden Markov Models(CHMMs) to sports highlights extraction from broadcast video using both audio and video information. First,...
Ziyou Xiong
ISMIR
2005
Springer
179views Music» more  ISMIR 2005»
13 years 10 months ago
Databionic Visualization of Music Collections According to Perceptual Distance
We describe the MusicMiner system for organizing large collections of music with databionic mining techniques. Low level audio features are extracted from the raw audio data on sh...
Fabian Mörchen, Alfred Ultsch, Mario Nöc...