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WWW
2010
ACM
13 years 11 months ago
What are the most eye-catching and ear-catching features in the video?: implications for video summarization
Video summarization is a mechanism for generating short summaries of the video to help people quickly make sense of the content of the video before downloading or seeking more det...
Yaxiao Song, Gary Marchionini, Chi Young Oh
AAAI
1997
13 years 7 months ago
The "Inverse Hollywood Problem": From Video to Scripts and Storyboards via Causal Analysis
We address the problem of visually detecting causal events and tting them together into a coherent story of the action witnessed by the camera. We show that this can be done by re...
Matthew Brand
ICPR
2008
IEEE
14 years 7 months ago
Audio-visual event classification via spatial-temporal-audio words
In this paper, we propose a generative model-based approach for audio-visual event classification. This approach is based on a new unsupervised learning method using an extended p...
Ming Li, Sanqing Hu, Shih-Hsi Liu, Sung Baang, Yu ...
CIVR
2007
Springer
14 years 17 days ago
Associating characters with events in films
The work presented here combines the analysis of a film’s audiovisual features with the analysis of an accompanying audio description. Specifically, we describe a technique fo...
Andrew Salway, Bart Lehane, Noel E. O'Connor
CLEF
2009
Springer
13 years 4 months ago
Exploiting Speech Recognition Transcripts for Narrative Peak Detection in Short-Form Documentaries
Narrative peaks are points at which the viewer perceives a spike in the level of dramatic tension within the narrative flow of a video. This paper reports on four approaches to na...
Martha Larson, Bart Jochems, Ewine Smits, Roeland ...