The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.
Video abstraction: A systematic review and classification
Abstract
The demand for various multimedia applications is rapidly increasing due to the recent advance in the computing and network infrastructure, together with the widespread use of digital video technology. Among the key elements for the success of these applications is how to effectively and efficiently manage and store a huge amount of audio visual information, while at the same time providing user-friendly access to the stored data. This has fueled a quickly evolving research area known as video abstraction . As the name implies, video abstraction is a mechanism for generating a short summary of a video, which can either be a sequence of stationary images ( keyframes ) or moving images ( video skims ). In terms of browsing and navigation, a good video abstract will enable the user to gain maximum information about the target video sequence in a specified time constraint or sufficient information in the minimum time. Over past years, various ideas and techniques have been proposed towards the effective abstraction of video contents. The purpose of this article is to provide a systematic classification of these works. We identify and detail, for each approach, the underlying components and how they are addressed in specific works.
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Cites
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Takeshi Asahi, K., Ortega, J. H., & Lecaros, R. (2011) · conference · Cited by 334
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Cited by
TVSum: Summarizing web videos using titles
Song, Y., Vallmitjana, J., Stent, A., & Jaimes, A. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2015.7299154 · Cited by 623
Academic Integrity in Online Assessment: A Research Review
Holden, O. L., Norris, M. E., & Kuhlmeier, V. A. (2021) · Frontiers in Education · doi:10.3389/feduc.2021.639814 · Cited by 310
Stacked Memory Network for Video Summarization
Wang, J., Wang, W., Wang, Z., Wang, L., Feng, D., & Tan, T. (2019) · Proceedings of the 27th ACM International Conference on Multimedia · doi:10.1145/3343031.3350992 · Cited by 60
Metadata
- Authors
- Truong, B. T., & Venkatesh, S.
- Venue
- ACM Transactions on Multimedia Computing, Communications, and Applications
- Published
- 2007-02
- Volume
- 3
- Issue
- 1
- Pages
- 3
- ISSN
- 1551-6857 (ISSN-L)
- 1551-6865
- OpenAlex
- W2094998392
- Cited by
- 833
- References
- 25
- FWCI
- 59.35
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
