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» Texture Feature Extraction and Classification
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124
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ICMCS
2005
IEEE
145views Multimedia» more  ICMCS 2005»
15 years 8 months ago
From Physiological Signals to Emotions: Implementing and Comparing Selected Methods for Feature Extraction and Classification
Little attention has been paid so far to physiological signals for emotion recognition compared to audio-visual emotion channels, such as facial expressions or speech. In this pap...
Johannes Wagner, Jonghwa Kim, Elisabeth Andr&eacut...
VLSISP
1998
140views more  VLSISP 1998»
15 years 1 months ago
Audio Feature Extraction and Analysis for Scene Segmentation and Classification
Understanding of the scene content of a video sequence is very important for content-based indexing and retrieval of multimedia databases. Research in this area in the past severa...
Zhu Liu, Yao Wang, Tsuhan Chen
124
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PAA
2008
15 years 2 months ago
Fusion of textural statistics using a similarity measure: application to texture recognition and segmentation
Abstract Features computed as statistics (e.g. histograms) of local filter responses have been reported as the most powerful descriptors for texture classification and segmentation...
Imen Karoui, Ronan Fablet, Jean-Marc Boucher, Wojc...
120
Voted
ICPR
2010
IEEE
15 years 5 months ago
An Empirical Study of Feature Extraction Methods for Audio Classification
With the growing popularity of video sharing web sites and the increasing use of consumer-level video capture devices, new algorithms are needed for intelligent searching and inde...
Charles Parker
ICIP
1999
IEEE
16 years 3 months ago
Water-Filling: A Novel Way for Image Structural Feature Extraction
The performance of a content based image retrieval (CBIR) system is inherently constrained by the features adopted to represent the images in the database. In this paper, a new ap...
Xiang Sean Zhou, Yong Rui, Thomas S. Huang