Towards scalable summarization of consumer videos via sparse dictionary selection
The rapid growth of consumer videos requires an effective and efficient content summarization method to provide a user-friendly way to manage and browse the huge amount of video data. Compared with most previous methods that focus on sports and news videos, the summarization of personal videos is mo...
Main Authors: | Cong, Yang, Yuan, Junsong, Luo, Jiebo |
---|---|
Other Authors: | School of Electrical and Electronic Engineering |
Format: | Journal Article |
Language: | English |
Published: |
2013
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/97228 http://hdl.handle.net/10220/11469 |
Similar Items
-
Video Summarization via Nonlinear Sparse Dictionary Selection
by: Mingyang Ma, et al.
Published: (2019-01-01) -
Video summarization via multiview representative selection
by: Meng, Jingjing, et al.
Published: (2019) -
Spatial locality-aware sparse coding and dictionary learning
by: Wang, Jiang, et al.
Published: (2014) -
Video summarization (action recognition)
by: Chua, Shui Feng.
Published: (2011) -
Machine learning for image and video summarization
by: Liu, Liuziyi
Published: (2020)