Automatic keyframe summarization of user-generated video
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Authors
Eckstrand, Eric C.
Subjects
Video Summarization
Video Abstraction
Keyframes
Keyframe Summary Evaluation
User-Generated Video
Video Segmentation
Keyframe Selection
Video Abstraction
Keyframes
Keyframe Summary Evaluation
User-Generated Video
Video Segmentation
Keyframe Selection
Advisors
Kolsch, Mathias
Giachetti, Ronald
Date of Issue
2014-06
Date
June 2014
Publisher
Monterey, California: Naval Postgraduate School
Language
Abstract
The explosive growth of user-generated video presents opportunities and challenges. The videos may possess valuable information that was once unavailable. On the other hand, the information may be buried or difficult to access with traditional methods. Automatic keyframe video summarization technologies exist that attempt to address this problem. A keyframe summary can often be viewed quicker than the underlying video. However, a theoretical framework for objectively assessing keyframe summary quality has been absent. The work presented here bridges this gap by presenting a semantically high-level, stakeholder-centered evaluation frame-work. The framework can capture common stakeholder concerns and quantitatively measure the extent to which they are satisfied by keyframe summaries.With this framework, keyframe summary stakeholders and algorithm developers can now identify when success has been achieved. This work also develops a number of novel keyframe summarization algorithms and shows, using the evaluation framework, that they outperform baseline methods.
Type
Thesis
Description
Series/Report No
Department
Systems Engineering (SE)
Organization
Identifiers
NPS Report Number
Sponsors
Funder
Format
Citation
Distribution Statement
Approved for public release; distribution is unlimited.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.