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ICPR
2008
IEEE
15 years 7 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»
15 years 2 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
16 years 2 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 7 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
109
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TRECVID
2008
15 years 2 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...