Paper Info
Title
A Rule-Based Scheme to Make Personal Digests from Video Program Meta Data
Abstract
Content providers have recently started adding a variety of meta data to various video programs; these data provide primitive descriptors of the video contents. Personal digest viewing that uses the meta data is a new application in the digital broadcasting era. To build personal digests, semantic program structures must be constructed and significant scenes must be identified. Digests are currently made manually at content provider sites. This is time-consuming and increases the cost. This paper proposes a way to solve these problems with a rule-based personal digest-making scheme (PDMS) that can automatically and dynamically make personal digests from the meta data. In PDMS, depending on properties of the video program contents and viewer preferences, high-level semantic program structures can be constructed from the added primitive meta data and significant scenes can be extracted. The paper illustrates a formal PDMS model. It also presents detailed evaluation results of PDMS using the contents of a professional baseball game TV program.
Year
DOI
Venue
2001
10.1007/3-540-44759-8_25
DEXA
Keywords
Field
DocType
various video program,significant scene,personal digests,high-level semantic program structure,added primitive meta data,video program content,formal pdms model,personal digest,rule-based scheme,meta data,semantic program structure,video program meta data,rule-based personal digest-making scheme,rule based
Metadata,Rule-based system,Computer science,Expert system,Digital broadcasting,Knowledge base,User interface,Semantics,Database,Personalization
Conference
Volume
ISSN
ISBN
2113
0302-9743
3-540-42527-6
Citations 
PageRank 
References 
4
0.58
10
Authors
4
Name
Order
Citations
PageRank
Takako Hashimoto15018.47
yukari shirota23218.32
atsushi iizawa34115.87
Hiroyuki Kitagawa41031148.79