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by Xingquan Zhu A, Walid G. Aref A, Jianping Fan B, Ann C. Catlin A, Ahmed K. Elmagarmid C
http://www.cs.purdue.edu/homes/ake/pub/icde03.pdf
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Abstract:
Abstract 1 To achieve more efficient video indexing and access, we introduce a video database management framework and strategies for video content structure and events mining. The video shot segmentation and representative frame selection strategy are first utilized to parse the continuous video stream into physical units. Video shot grouping, group merging, and scene clustering schemes are then proposed to organize the video shots into a hierarchical structure using clustered scenes, scenes, groups, and shots, in increasing granularity from top to bottom. Then, audio and video processing techniques are integrated to mine event information, such as dialog, presentation and clinical operation, from the detected scenes. Finally, the acquired video content structure and events are integrated to construct a scalable video skimming tool which can be used to visualize the video content hierarchy and event information for efficient access. Experimental results are also presented to evaluate the performance of the proposed framework and algorithms. 1.
Citations
|
1357
|
R.C.: Algorithms for clustering data
– Jain, Dubes
- 1988
|
|
981
|
Introduction to WordNet: An On-Line Lexical Database. ftp//clarity.princeton.edu/pub/WordNet/ 5papers.ps
– Miller, Beckwith, et al.
- 1993
|
|
735
|
Data Mining: Concepts and Techniques
– Han, Kamber
- 2000
|
|
376
|
Efficient and effective querying by image content
– Faloutsos, Barber, et al.
- 1994
|
|
269
|
Data Mining: An Overview from a Databases Perspective
– Chen, Han, et al.
- 1996
|
|
224
|
Automatic partitioning of full-motion video
– Zhang, Kankanhalli, et al.
- 1993
|
|
213
|
Database mining: A performance perspective
– Agrawal, Imielinski, et al.
- 1993
|
|
147
|
data mining to knowledge discovery in databases
– Fayyad, Piatetsky-Shapiro, et al.
- 1996
|
|
59
|
Clustering Methods for Video Browsing and Annotation
– Zhong, Zhang, et al.
- 1996
|
|
55
|
Constructing table-of-content for videos
– Rui, Huang, et al.
- 1999
|
|
52
|
Video scene segmentation via continuous video coherence
– Kender, Yeo
- 1998
|
|
44
|
Time-constrained Clustering for Segmentation of Video into Story Units
– Yeung, Yeo
- 1996
|
|
23
|
DISTBIC: A Speaker-based Segmentation for Audio Data
– Delacourt, Wellekens
- 2000
|
|
18
|
Zhang “Automatic Video Scene Extraction by Shot Grouping
– Lin, J
- 2000
|
|
12
|
An access control model for video database systems
– Bertino, Hammad, et al.
- 2002
|
|
12
|
Automatic model-based semantic object extraction algorithm
– Fan, Zhu, et al.
- 2000
|
|
11
|
Multiview: multilevel video content representation and retrieval
– Fan, Aref, et al.
- 2001
|
|
6
|
Managing and mining multimedia database
– Thuraisingham
- 2001
|
|
6
|
Multimedia data mining for traffic video sequence”, MDM/KDD workshop 2001
– Chen, Shyu, et al.
- 2001
|
|
5
|
Hierarchical video summarization for medical data
– Zhu, Fan, et al.
- 2002
|
|
4
|
Elmagarmid, “Towards facial feature localization and verification for omni-face detection in video/images
– Zhu, Fan, et al.
- 2002
|
|
4
|
Geoplot: Spatial Data Mining on Video Libraries
– Pan, Faloutsos
- 2002
|
|
3
|
Classification of audio events in broadcast News
– Liu, Huang
- 1998
|
|
2
|
Mining multimedia data
– Zajane, Li, et al.
- 1998
|
|
2
|
Mining of video database”, Book chapter in Multimedia data mining
– Fan, Zhu, et al.
- 2002
|
|
2
|
Elmagarmid, “ClassMiner: mining medical video content structure and events towards efficient access and scalable skimming
– Zhu, Fan, et al.
- 2002
|
|
1
|
VideoCube: A new tool for video mining and classification
– Pan, Faloutsos
|
