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A smart video abstraction framework master project report
Dissertant
Thesis advisor
Comitee Members
Smith, Kevin
Cavalli Sforza, Violetta
Zarghili, Arsalane
University
Al Akhawayn University
Faculty
School of Science and Engineering
University Country
Morocco
Degree
Master
Degree Date
2012
English Abstract
Digital video contents have emerged lately resulting on a higher need for more sophisticated video content processing systems.
These systems would be used to efficiently process, describe, browse, and retrieve video data based on users’ requirements.
In this spirit, designing and developing a smart video processing system would be of great value to multimedia applications that provide video related services to end-users.
These services involve video abstraction and retrieval, two fields that have attracted worldwide intensive research efforts and received significant attention over the last few years mostly at the theoretical level not at the concrete one in terms of real systems developed.
This report provides an overview of some of the approaches, techniques, and algorithms cited in the literature and used to perform the video analytics capabilities supported by existing video processing systems that offer services built on top of digital video contents.
In fact, an optimized process model for video content abstraction is presented and a framework for video abstraction and retrieval based on this model is developed under the name of “A Smart Video Abstraction Framework”.
This system is a real-time video monitoring, event detection, notification delivery, and video related content retrieval solution that could be used in multiple promising multimedia applications in order to meet the users’ expectations and reach their highest satisfaction level
Main Subjects
No. of Pages
107
Table of Contents
Table of contents.
Abstract.
Abstract in Arabic.
Chapter One : Introduction.
Chapter Two : Literature review.
Chapter Three : Conceptual analysis.
Chapter Four : Key frame selection.
Chapter Five : System implementation.
Chapter Six : Conclusion.
References.
American Psychological Association (APA)
Miou, Hind Shuraybi. (2012). A smart video abstraction framework master project report. (Master's theses Theses and Dissertations Master). Al Akhawayn University, Morocco
https://search.emarefa.net/detail/BIM-627870
Modern Language Association (MLA)
Miou, Hind Shuraybi. A smart video abstraction framework master project report. (Master's theses Theses and Dissertations Master). Al Akhawayn University. (2012).
https://search.emarefa.net/detail/BIM-627870
American Medical Association (AMA)
Miou, Hind Shuraybi. (2012). A smart video abstraction framework master project report. (Master's theses Theses and Dissertations Master). Al Akhawayn University, Morocco
https://search.emarefa.net/detail/BIM-627870
Language
English
Data Type
Arab Theses
Record ID
BIM-627870