An environment for video content indexing and retrieval base don visual features

2009 ◽  
Author(s):  
Carlos A. F. Pimentel Filho ◽  
Thomas A. Buck ◽  
Celso A. S. Santos
Keyword(s):  
Visual Features ◽  
Video Content ◽  
Indexing And Retrieval

Global Affective Video Content Regression Based on Complementary Audio-Visual Features

2019 ◽  
pp. 540-550
Author(s):  
Xiaona Guo ◽  
Wei Zhong ◽  
Long Ye ◽  
Li Fang ◽  
Yan Heng ◽  
...  
Keyword(s):  
Visual Features ◽  
Video Content

scholarly journals Survey on Shot Boundary Detection Methods

2020 ◽  
pp. 234-238
Keyword(s):  
Video Retrieval ◽  
Boundary Detection ◽  
Detection Methods ◽  
Shot Boundary Detection ◽  
Multimedia Content ◽  
Multimedia Technology ◽  
Video Content ◽  
Media Processing ◽  
Indexing And Retrieval ◽  
Shot Boundary

The increase in the growth of multimedia technology leads to an increase in multimedia content in a large amount. Hence it is important to access only interesting video content instead of the whole video. For effective indexing and retrieving the interesting content from the whole video, the Content-Based Video Retrieval (CBVR) is used. Shot boundary detection is one of the most important and necessary steps. It is used to partitioning the video into shots that are necessary for indexing and retrieval of video. Therefore, segmentation plays a significant role in the field of digital image and media processing, computer vision and pattern recognition. In this paper, the recent development for shot boundary detection has been presented.

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