Please use this identifier to cite or link to this item: https://doi.org/10.1145/1631135.1631143
Title: MovieBase: A movie database for event detection and behavioral analysis
Authors: Chua, T.-S. 
Tang, S. 
Trichet, R. 
Tan, H.K.
Song, Y.
Keywords: Database
Video annotation
Video content analysis
Video indexing and mining
YouTube
Issue Date: 2009
Source: Chua, T.-S.,Tang, S.,Trichet, R.,Tan, H.K.,Song, Y. (2009). MovieBase: A movie database for event detection and behavioral analysis. 1st International Workshop on Web-Scale Multimedia Corpus, WSMC'09, Co-located with the 2009 ACM International Conference on Multimedia, MM'09 : 41-48. ScholarBank@NUS Repository. https://doi.org/10.1145/1631135.1631143
Abstract: The overwhelming amount of multimedia entities shared over the web has given rise to the need for semantic identification and classification of these entities. Numerous research efforts have tackled this problem by developing advanced content analysis techniques as well as leveraging on readily available tags, scripts, and blogs related to these multimedia entities. However, in many cases, especially for event detection and action recognition, the research efforts were hampered by the lack of large scale publicly available benchmarks. To address this problem, this paper presents a large-scale movie corpus named MovieBase that covers full length feature movies as well as huge volume of movie-related video clips downloaded from YouTube. The corpus is designed for research in event detection and action recognition. It offers over 71 hours of videos with a total of 69,129 shots. The corpus has been hand-labeled according to 7 audio and 11 visual concept tags to semantically define 11 event categories under the romantic and violence scenes. The corpus comes with a set of pre-extracted low-level visual, motion, audio as well as high-level features. Related results are furnished as a baseline for the movie event detection task. Copyright 2009 ACM.
Source Title: 1st International Workshop on Web-Scale Multimedia Corpus, WSMC'09, Co-located with the 2009 ACM International Conference on Multimedia, MM'09
URI: http://scholarbank.nus.edu.sg/handle/10635/40657
ISBN: 9781605587615
DOI: 10.1145/1631135.1631143
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