On clustering and retrieval of video shots
Clustering of video data is an important issue in video abstraction, browsing and retrieval. In this paper, we propose a two-level hierarchical clustering approach by aggregating shots with similar motion and color features. Motion features are computed directly from 20 tensor histograms, while colo...
Saved in:
Main Authors: | NGO, Chong-wah, PONG, Ting-Chuen, ZHANG, Hong-Jiang |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2001
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/6482 https://ink.library.smu.edu.sg/context/sis_research/article/7485/viewcontent/500141.500151.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
On clustering and retrieval of video shots through temporal slices analysis
by: NGO, Chong-wah, et al.
Published: (2002) -
OM-based video shot retrieval by one-to-one matching
by: PENG, Yuxin, et al.
Published: (2007) -
Cluster-based color matching for image retrieval
by: Kankanhalli, M.S., et al.
Published: (2014) -
Key technologies for content-based video retrieval
by: PENG, Y., et al.
Published: (2004) -
Clip-based similarity measure for hierarchical video retrieval
by: PENG, Yuxin, et al.
Published: (2004)