A Multimodal Approach to Communicative Interactivity Classification

被引：0
|
作者：
Tomasz M. Rutkowski
Danilo Mandic
Allan Kardec Barros
机构：
[1] RIKEN,Brain Science Institute
[2] Imperial College of Science,Department of Electrical and Electronic Engineering
[3] Technology and Medicine,Laboratory for Biological Information Processing
[4] Universidade Federal do Maranhāo,undefined
来源：
The Journal of VLSI Signal Processing Systems for Signal, Image, and Video Technology | 2007年 / 49卷
关键词：
human communication analysis; data fusion; multimedia information processing; audiovisual data fusion;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The problem of modality detection in so called communicative interactivity is addressed. Multiple audio and video recordings of human communication are analyzed within this framework, based on fusion of the extracted features. At the decision level, support vector machines (SVMs) are utilized to segregate between the communication modalities. The proposed approach is verified through simulations on real world recordings.
引用
收藏
页码：317 / 328
页数：11
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