Audio-Assisted Video Browsing for DVD Recorders

Divakaran, Ajay; Otsuka, I.; Radhakrishnan, Regunathan; Nakane, K.; Ogawa, Michio

doi:10.1007/978-3-540-30542-2_4

Cited by 2 publications

(1 citation statement)

References 4 publications

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“…Most related work deals with a previously edited single video stream with specific content [3] [4]. Audio is the most common supplementary input for retrieval [5] [6]. However, the use of context data where available can improve the performance greatly [7].…”

Section: Related Workmentioning

confidence: 99%

Evaluation of video summarization for a large number of cameras in ubiquitous home

Silva

Yamasaki

Aizawa

2005

Proceedings of the 13th Annual ACM International Conference on Multimedia

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A system for video summarization in a ubiquitous environment is presented. Data from pressure-based floor sensors are clustered to segment footsteps of different persons. Video handover has been implemented to retrieve a continuous video showing a person moving in the environment. Several methods for extracting key frames from the resulting video sequences have been implemented, and evaluated by experiments. It was found that most of the key frames the human subjects desire to see could be retrieved using an adaptive algorithm based on camera changes and the number of footsteps within the view of the same camera. The system consists of a graphical user interface that can be used to retrieve video summaries interactively using simple queries.

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Section: Related Workmentioning

confidence: 99%

Evaluation of video summarization for a large number of cameras in ubiquitous home

Silva

Yamasaki

Aizawa

2005

Proceedings of the 13th Annual ACM International Conference on Multimedia

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Experience retrieval in a ubiquitous home

Silva

Yamasaki

et al. 2005

Proceedings of the 2nd ACM Workshop on Continuous Archival and Retrieval of Personal Experiences

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We present a system for retrieval and summarization of continuously archived multimedia data from a home-like ubiquitous environment. Data from pressure-based floor sensors are analyzed to index video and audio from a large number of sources. Video and audio handover are implemented to retrieve continuous video streams with sound as a person is moving in the environment. Key frame extraction is proposed and several algorithms are implemented to obtain compact summaries corresponding to the activity of each person. Clustering algorithms and image analysis are used to identify actions and events. The system consists of a graphical user interface that can be used to retrieve video summaries interactively using simple queries.

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Audio-Assisted Video Browsing for DVD Recorders

Cited by 2 publications

References 4 publications

Evaluation of video summarization for a large number of cameras in ubiquitous home

Evaluation of video summarization for a large number of cameras in ubiquitous home

Experience retrieval in a ubiquitous home

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