Key-Frame Extraction Based on HSV Histogram and Adaptive Clustering
Along with the fast development of digital information technology and the application of Internet, video data begins to grow explosively. Some applications with high real-time requirements, such as object detection, require strong online video storage and analysis capabilities. Key-frame extraction...
Main Authors: | Hong Zhao, Wei-Jie Wang, Tao Wang, Zhao-Bin Chang, Xiang-Yan Zeng |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2019-01-01
|
Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2019/5217961 |
Similar Items
-
Key Frame Extraction using Clustering Approach
by: Huang Chun-Pin, et al.
Published: (2004) -
Image retrieval based on the combination of RGB and HSV's histograms and Colour Layout Descriptor
by: Javier Poveda Figueroa, et al.
Published: (2012-06-01) -
Histogram-based Feature Extraction for GPS Trajectory Clustering
by: Chi Nguyen, et al.
Published: (2020-01-01) -
Combination of HSV and RGB histograms and MPEG-7 Descriptor: Preliminar Results and Future Work
by: Javier Poveda Figueroa, et al.
Published: (2013-06-01) -
Saliency and Dynamic Clustering for Key-Frames Extraction of Human Motions
by: Jia-Yi Li, et al.