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ICPR
2008
IEEE
15 years 4 months ago
A scene-based video watermarking technique using SVMs
In this paper we present a scene-based video watermarking scheme using support vector machines (SVMs). In a given scene, the algorithm uses the first h′ frames to train an embed...
Shwu-Huey Yen, Hsiao-Wei Chang, Chia-Jen Wang, Pat...
COST
2008
Springer
287views Multimedia» more  COST 2008»
14 years 11 months ago
Facial Expressions Recognition from Image Sequences
Abstract. Human machine interaction is one of the emerging fields for the coming years. Interacting with others in our daily life is a face to face interaction. Faces are the natur...
Zahid Riaz, Christoph Mayer, Michael Beetz, Bernd ...
ICIP
2006
IEEE
15 years 11 months ago
Automatic Video Genre Categorization using Hierarchical SVM
This paper presents an automatic video genre categorization scheme based on the hierarchical ontology on video genres. Ten computable spatio-temporal features are extracted to dis...
Xun Yuan, Wei Lai, Tao Mei, Xian-Sheng Hua, Xiuqin...
ISM
2008
IEEE
156views Multimedia» more  ISM 2008»
15 years 4 months ago
Correlation-Based Video Semantic Concept Detection Using Multiple Correspondence Analysis
Semantic concept detection has emerged as an intriguing topic in multimedia research recently. The ability to interpret high-level semantics from low-level features has been the l...
Lin Lin, Guy Ravitz, Mei-Ling Shyu, Shu-Ching Chen
TRECVID
2008
14 years 11 months ago
ISM TRECVID2008 High-level Feature Extraction
We studied a method using support vector machines (SVMs) with walk-based graph kernels for the high-level feature extraction (HLF) task. In this method, each image is first segmen...
Tomoko Matsui, Jean-Philippe Vert, Shin'ichi Satoh...