Computer vision for multimedia applications methods and solutions
"This book presents the latest developments in computer vision methods applicable to various problems in multimedia computing, including new ideas, as well as problems in computer vision and multimedia computing" - Provided by publisher
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| Weitere Verfasser: | , , |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey ; New York
Information Science Reference
[2011]
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| Schriftenreihe: | Premier reference source
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| Schlagworte: | |
| Online-Zugang: | DE-706 DE-1049 DE-898 DE-1050 DE-83 URL des Erstveröffentlichers |
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Inhaltsangabe:
- 1. Intelligent vision systems for landmark-based vehicle navigation / Wen Wu, Jie Yang, Xilin Chen
- 2. Spontaneous facial expression analysis and synthesis for interactive facial animation / Yongmian Zhang ... [et al.]
- 3. A modular framework for vision-based human computer interaction / Giancarlo Iannizzotto, Francesco La Rosa
- 4. Robust human face tracking in eigenspace for perceptual human-robot interaction / Richard Jiang, Abdul Sadka
- 5. 3D face modeling for multi-feature extraction for intelligent systems / Zahid Riaz ... [et al.]
- 6. Video summarization by redundancy removing and content ranking / Tao Wang ... [et al.]
- 7. Multi-sensored vision for autonomous production of personalized video summary / Fan Chen ... [et al.]
- 8. A perceptual approach for image representation and retrieval / Noureddine Abbadeni
- 9. Event detection in sports video based on generative-discriminative models / Guoliang Fan, Yi Ding
- 10. Content-based video scene clustering and segmentation / Hong Lu, Xiangyang Xue
- 11. Vision based hand posture recognition / Kongqiao Wang, Yikai Fang, Xiujuan Chai
- 12. Detecting image forgeries using geometric cues / Lin Wu, Yang Wang
- 13. Salient region detection for biometric watermarking / Ma Bin, Li Chun-lei, Wang Yun-hong, Bai Xiao
- 14. Bio-inspired scheme for classification of visual information / Le Dong, Ebroul Izquierdo, Shuzhi Ge
- 15. Ant-inspired visual saliency detection in image / Jing Tian, Weiyu Yu
- 16. Modeling visual saliency in images and videos / Yiqun Hu, Viswanath Gopalakrishnan, Deepu Rajan