Title
Significant Scene Extraction Method Using Situation Importance
Abstract
Recently, Sports videos for mobile terminals and PCsand other multimedia information services such as sportsvideos for mobile terminals and PCs have recentlyspread. In these services, The ability to efficientlytextraction of significant scenes becomes importantisimportant with these services. We proposed the PersonalDigest Making Scheme (PDMS), which calculates thesignificance of events in the a sports game based on videometa data and extracts significant scenes to compose adigest. PDMS calculations focus on additional-pointevents' significance, so the system could cannot analyzelow-score games correctly. To address the problem, thispaper explains the a method of calculating situationimportance before events happen, to take into accountsignificant scenes extractiowhich will be taken intoaccount when extracting significant scenesn. Situationimportance presents affords a degree of a chance. Usingsituation importance makes it possible to extractsignificant scenes more correctly.
Year
DOI
Venue
2004
10.1109/ICDCSW.2004.1284039
ICDCS Workshops
Keywords
Field
DocType
significant scene extraction method,significant scenesn,significant scene,analyzelow-score game,accountsignificant scenes extractiowhich,mobile terminal,usingsituation importance,sports video,extracts significant scene,situation importance,pdms calculation,sports game,tv,sections,data mining,sport,meta data,games,mobile computing,feature extraction,layout
Mobile computing,Metadata,Computer science,Feature extraction,Scene statistics,Multimedia information,Multimedia
Conference
ISBN
Citations 
PageRank 
0-7695-2087-1
2
0.43
References 
Authors
5
4
Name
Order
Citations
PageRank
Takako Hashimoto15018.47
Takashi Katooka241.21
atsushi iizawa34115.87
Hiroyuki Kitagawa4113.40