Personal Digest System for Professional Baseball Programs in Mobile Environment
MDM '03 Proceedings of the 4th International Conference on Mobile Data Management
Semantic Structures for Video Data Indexing
AMCP '98 Proceedings of the First International Conference on Advanced Multimedia Content Processing
A TV Program Generation System using Digest of Video Scenes and a Scripting Markup Language
HICSS '01 Proceedings of the 34th Annual Hawaii International Conference on System Sciences ( HICSS-34)-Volume 4 - Volume 4
Personalized digests of sports programs using intuitive retrieval and semantic analysis
ER'00 Proceedings of the 19th international conference on Conceptual modeling
Important scene analysis model using result importance and situation importance
International Journal of Wireless and Mobile Computing
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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.