Content description for video database dynamic object type and dynamic indexing

Pao Yue-kong Library Electronic Theses Database

Content description for video database dynamic object type and dynamic indexing

 

Author: Yik, Fung-ngam
Title: Content description for video database dynamic object type and dynamic indexing
Degree: M.Sc.
Year: 1999
Subject: Multimedia systems
Database management
Hong Kong Polytechnic University -- Dissertations
Department: Multi-disciplinary Studies
Dept. of Electronic Engineering
Pages: ii, 50 leaves : ill. ; 31 cm
Language: English
InnoPac Record: http://library.polyu.edu.hk/record=b1485418
URI: http://theses.lib.polyu.edu.hk/handle/200/442
Abstract: Multimedia information management systems are experiencing rapid growth and development. This field span over a wide scope of research areas including signal processing, content descriptions, content-based indexing and retrieval, and query processing. This thesis concentrates on the area of video content descriptions. Because of the complex nature of video content descriptions, traditional Relational Database Management System (RDBMS) can no longer be able to manage these kinds of data. A dynamic object type and dynamic indexing methods are introduced in this thesis for describing video contents. The methods aim to enable systems to handle additional complex object types added to the system for representing video descriptions. Systems built with these features can evolve over time. A data model was built in this thesis for video description systems. The model includes a hierarchical data structure that contains videos, description categories belong to each video and actual descriptions of videos. A logical prototype of the proposed system has been built in this thesis to demonstrate the operation of the system. Sample videos have been used. Description categories such as person, colour, topics are employed for illustration. Pseudo codes that execute a few typical queries are used to explain how it is performed in the proposed system. In summary, the features and models introduced in this thesis solve some of the typical problems faced in the development of video content description systems.

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