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106
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ICASSP
2010
IEEE
15 years 5 days ago
On-the-fly video genre classification by combination of audio features
Video genre identification methods are frequently based on image or motion analysis, which are relatively timeconsuming processes. Since such approaches are tractable by batch pro...
Mickael Rouvier, Georges Linares, Driss Matrouf
117
Voted
ICPR
2010
IEEE
15 years 4 months ago
Lipreading: A Graph Embedding Approach
In this paper, we propose a novel graph embedding method for the problem of lipreading. To characterize the temporal connections among video frames of the same utterance, a new di...
Ziheng Zhou, Guoying Zhao, Matti Pietikäinen
163
Voted
MM
2006
ACM
221views Multimedia» more  MM 2006»
15 years 8 months ago
Video object segmentation by motion-based sequential feature clustering
Segmentation of video foreground objects from background has many important applications, such as human computer interaction, video compression, multimedia content editing and man...
Mei Han, Wei Xu, Yihong Gong
68
Voted
ICIP
2001
IEEE
16 years 3 months ago
Improved ROI and within frame discriminant features for lipreading
Gerasimos Potamianos, Chalapathy Neti
117
Voted
VAMOS
2007
Springer
15 years 8 months ago
On the Structure of Problem Variability: From Feature Diagrams to Problem Frames
Requirements for product families are expressed in terms of commonality and variability. This distinction allows early identification of an appropriate software architecture and ...
Andreas Classen, Patrick Heymans, Robin C. Laney, ...