An Autonomous Framework to Produce and Distribute Personalized Team-Sport Video Summaries: A Basketball Case Study

Democratic and personalized production of multimedia content is a challenge that content providers will have to face in the near future. In this paper, we address this challenge by building on computer vision tools to automate the collection and distribution of audiovisual content. Especially, we pr...

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Vydané v:IEEE transactions on multimedia Ročník 13; číslo 6; s. 1381 - 1394
Hlavní autori: Fan Chen, Delannay, D., De Vleeschouwer, C.
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York, NY IEEE 01.12.2011
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:
Applied sciences
Artificial intelligence
Audio-visual systems
Cameras
Computer science; control theory; systems
Computer systems and distributed systems. User interface
Computer vision
Content repurposing
Exact sciences and technology
multi-sensored processing
Multimedia communication
Pattern recognition. Digital image processing. Computational geometry
production of personalized video summarization
Semantics
Software
Speech and sound recognition and synthesis. Linguistics
Streaming media
Content repurposing
Customization
Video signal
Team sport
Adaptive method
Audiovisual
Digital goods
Information communication
Linguistics
Audiovisual equipment
Production process
Multimedia
Streaming
Computer vision
Content management
Abstract
production of personalized video summarization
Software tool
Text generation
Video production
multi-sensored processing
Preference
Scene analysis
Automatic analysis
Sensor array
ISSN:1520-9210, 1941-0077
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Shrnutí:Democratic and personalized production of multimedia content is a challenge that content providers will have to face in the near future. In this paper, we address this challenge by building on computer vision tools to automate the collection and distribution of audiovisual content. Especially, we proposed a complete production process of personalized video summaries in a typical application scenario, where the sensor network for media acquisition is composed of multiple cameras, which, for example, cover a basketball field. Distributed analysis and interpretation of the scene are exploited to decide what to show or not to show about the event, so as to produce a video composed of a valuable subset of the streams provided by each individual camera. Interestingly, the selection of the streams subsets to forward to each user depends on his/her individual preferences, making the process adaptive and personalized. The process involves numerous integrated technologies and methodologies, including but not limited to automatic scene analysis, camera viewpoint selection, adaptive streaming, and generation of summaries through automatic organization of stories. The proposed technology provides practical solutions to a wide range of applications, such as personalized access to local sport events through a web portal, cost-effective and fully automated production of content dedicated to small-audience, or even automatic log in of annotations.
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ISSN:1520-9210
1941-0077
DOI:10.1109/TMM.2011.2166379