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On clustering and retrieval of video shots through temporal slices analysis
Open accessAbstract
Based on the analysis of temporal slices, we propose novel approaches for clustering and retrieval of video shots. Temporal slices are a set of two-dimensional (2-D) images extracted along the time dimension of an image volume. They encode rich set of visual patterns for similarity measure. In this paper, we first demonstrate that tensor histogram features extracted from temporal slices are suitable for motion retrieval. Subsequently, we integrate both tensor and color histograms for constructing a two-level hierarchical clustering structure. Each cluster in the top level contains shots with similar color while each cluster in bottom level consists of shots with similar motion. The constructed structure is then used for the cluster-based retrieval. The proposed approaches are found to be useful particularly for sports games, where motion and color are important visual cues when searching and browsing the desired video shots.
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“The STS images have been effectively used in a model of human visual-motion sensing,22 in energy models of motion perception,23 and in video motion analysis.20,21”
From ViS3: an algorithm for video quality assessment via analysis of spatial and spatiotemporal slices (2014) · cites this paper as [20]
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ViS3: an algorithm for video quality assessment via analysis of spatial and spatiotemporal slices
Vu, P. V., & Chandler, D. M. (2014) · Journal of Electronic Imaging · doi:10.1117/1.jei.23.1.013016 · Cited by 185
“R x ðt; yÞ 1⁄4 1⁄2Sxðt; yÞ y gs t hz; (20)”
Metadata
- Authors
- Ngo, C.-W., Pong, T.-C., & Zhang, H.-J.
- Affiliations
- City University of Hong Kong (HK)
- Hong Kong University of Science and Technology (HK)
- Microsoft Research Asia (China) (CN)
- Venue
- IEEE Transactions on Multimedia
- Published
- 2002-12
- Volume
- 4
- Issue
- 4
- Pages
- 446-458
- ISSN
- 1520-9210 (ISSN-L)
- OpenAlex
- W2138035768
- Cited by
- 118
- References
- 0
- Citations by year
- 2026: 1 · 2022: 1 · 2020: 2 · 2018: 1 · 2017: 4 · 2016: 4 · 2015: 8 · 2014: 4 · 2013: 3 · 2012: 1
- FWCI
- 11.64
- Type
- journal article
- Language
- en
- Open access
- Locations
- IEEE Transactions on Multimedia (publishedVersion)
- Singapore Management University Institutional Knowledge (InK) (Singapore Management University) (submittedVersion, other-oa)
- Rare & Special e-Zone (The Hong Kong University of Science and Technology) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Video Analysis and Summarization
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image Retrieval and Classification Techniques
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Video Surveillance and Tracking Methods
- Keywords
- video shot retrieval, color histogram, hierarchical clustering, motion retrieval, sports video, video browsing
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