Mitigating Wild Animals Poaching Through State-of-the-art Multimedia Data Mining Techniques: A Review

2020 ◽  
Author(s):  
Sibusiso R. Bakana ◽  
Yongfei Zhang ◽  
Bhekisipho Twala
Keyword(s):  
Data Mining ◽  
State Of The Art ◽  
Multimedia Data ◽  
Wild Animals ◽  
Data Mining Techniques ◽  
Multimedia Data Mining

Image Features from Morphological Scale-Spaces

2011 ◽  
pp. 32-79
Author(s):  
Sébastien Lefèvre
Keyword(s):  
Data Mining ◽  
Performance Evaluation ◽  
Video Processing ◽  
State Of The Art ◽  
Image Features ◽  
Video Data ◽  
Multimedia Data ◽  
Multimedia Data Mining ◽  
Shot Detection ◽  
Scale Spaces

Video processing and segmentation are important stages for multimedia data mining, especially with the advance and diversity of video data available. The aim of this chapter is to introduce researchers, especially new ones, to the “video representation, processing, and segmentation techniques”. This includes an easy and smooth introduction, followed by principles of video structure and representation, and then a state-of-the-art of the segmentation techniques focusing on the shot-detection. Performance evaluation and common issues are also discussed before concluding the chapter.

Video Representation and Processing for Multimedia Data Mining

2011 ◽  
pp. 1-31 ◽  
Author(s):  
Amr Ahmed
Keyword(s):  
Data Mining ◽  
Performance Evaluation ◽  
Video Processing ◽  
State Of The Art ◽  
Detection Performance ◽  
Video Data ◽  
Multimedia Data ◽  
Multimedia Data Mining ◽  
Video Representation ◽  
Shot Detection

Video processing and segmentation are important stages for multimedia data mining, especially with the advance and diversity of video data available. The aim of this chapter is to introduce researchers, especially new ones, to the “video representation, processing, and segmentation techniques”. This includes an easy and smooth introduction, followed by principles of video structure and representation, and then a state-of-the-art of the segmentation techniques focusing on the shot-detection. Performance evaluation and common issues are also discussed before concluding the chapter.

Multimedia data mining: state of the art and challenges

2010 ◽  
Vol 51 (1) ◽  
pp. 35-76 ◽  
Author(s):  
Chidansh Amitkumar Bhatt ◽  
Mohan S. Kankanhalli
Keyword(s):  
Data Mining ◽  
State Of The Art ◽  
Multimedia Data ◽  
Multimedia Data Mining
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