Please use this identifier to cite or link to this item:
|Title:||Beyond search: Event-driven summarization for web videos||Authors:||Hong, R.
Web video summarization
|Issue Date:||2011||Citation:||Hong, R., Tang, J., Tan, H.-K., Ngo, C.-W., Yan, S., Chua, T.-S. (2011). Beyond search: Event-driven summarization for web videos. ACM Transactions on Multimedia Computing, Communications and Applications 7 (4). ScholarBank@NUS Repository. https://doi.org/10.1145/2043612.2043613||Abstract:||The explosive growth of Web videos brings out the challenge of how to efficiently browse hundreds or even thousands of videos at a glance. Given an event-driven query, social media Web sites usually return a large number of videos that are diverse and noisy in a ranking list. Exploring such results will be time-consuming and thus degrades user experience. This article presents a novel scheme that is able to summarize the content of video search results by mining and threading "key" shots, such that users can get an overview of main content of these videos at a glance. The proposed framework mainly comprises four stages. First, given an event query, a set of Web videos is collected associated with their ranking order and tags. Second, key-shots are established and ranked based on near-duplicate keyframe detection and they are threaded in a chronological order. Third, we analyze the tags associated with key-shots. Irrelevant tags are filtered out via a representativeness and descriptiveness analysis, whereas the remaining tags are propagated among key-shots by random walk. Finally, summarization is formulated as an optimization framework that compromises relevance of key-shots and user-defined skimming ratio. We provide two types of summarization: video skimming and visual-textual storyboard.We conduct user studies on twenty event queries for over hundred hours of videos crawled from YouTube. The evaluation demonstrates the feasibility and effectiveness of the proposed solution. © 2011 ACM.||Source Title:||ACM Transactions on Multimedia Computing, Communications and Applications||URI:||http://scholarbank.nus.edu.sg/handle/10635/43075||ISSN:||15516857||DOI:||10.1145/2043612.2043613|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Dec 6, 2019
WEB OF SCIENCETM
checked on Nov 28, 2019
checked on Dec 2, 2019
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.