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Scott Stevens

Researcher at Carnegie Mellon University

Publications -  71
Citations -  2586

Scott Stevens is an academic researcher from Carnegie Mellon University. The author has contributed to research in topics: Digital library & Non-linear editing system. The author has an hindex of 21, co-authored 71 publications receiving 2527 citations. Previous affiliations of Scott Stevens include Software Engineering Institute.

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Journal ArticleDOI

Intelligent access to digital video: Informedia project

TL;DR: Carnegie Mellon's Informedia Digital Video Library project will establish a large, on-line digital video library featuring full-content and knowledge-based search and retrieval, and focused the work on two corpuses.
Journal ArticleDOI

Intelligent Assistive Technology Applications to Dementia Care: Current Capabilities, Limitations, and Future Challenges

TL;DR: The authors conducted an extensive search of the computer science, engineering, and medical databases to review intelligent cognitive devices, physiologic and environmental sensors, and advanced integrated sensor networks that may find future applications in dementia care.
Patent

Method and apparatus for creating a searchable digital video library and a system and method of using such a library

TL;DR: In this article, an apparatus and method of creating a digital library from audio data and video images is presented. But the method is based on the first set of time-stamps and indexing the audio data.
Patent

System and method for skimming digital audio/video data

TL;DR: In this paper, the video data is partitioned into video segments, and the audio data is extracted as keywords in the identifying step, and then the video sequence is combined with the audio track in response to the extraction step.
Proceedings ArticleDOI

Simplifying video editing using metadata

TL;DR: A video editor, called Silver, that uses metadata to make digital video editing more accessible to novices and offers smart editing operations that help users resolve the inconsistencies that arise because of the different boundaries in audio and video.