Media adaptation model based on character object for cognitive TV
- Authors
- Kim S.; Yoon Y.-I.
- Issue Date
- Apr-2013
- Keywords
- Cognitive Lattice; H.264IMPEG-21SVC; Motion features; Region of Interest; Semantic Shot; Video Classification
- Citation
- International Conference on Information Networking, pp 487 - 492
- Pages
- 6
- Journal Title
- International Conference on Information Networking
- Start Page
- 487
- End Page
- 492
- URI
- https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/6514
- DOI
- 10.1109/ICOIN.2013.6496428
- ISSN
- 1976-7684
- Abstract
- Advances in technology for multimedia services have led to a tremendous growth of video contents and accelerated the need to analyze and understand video content. An analysis of sports video, for example, has been a hot research area to identify a number of potential items: player and ball. For the efforts, this paper shows a Cognitive TV framework for the semantic region of interests in sport video service. The framework will issue two contributions in the short classification and object trajectory for the area of sport video. For the contributions, this paper suggests the semantic region of interests (SROI) based on Motion Vector Space (MVF) to analyze sports video. The SROI distinguishes the shot classes that are located in the motion vector space and detects the key objects, like the player and ball in the playing field, using Cognitive lattice algorithm. © 2013 IEEE.
- Files in This Item
-
Go to Link
- Appears in
Collections - ICT융합공학부 > IT공학전공 > 1. Journal Articles
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.