Sift-based modeling and coding of background scenes for multiview soccer video
2012 (English)In: Image Processing (ICIP), 2012 19th IEEE International Conference on, IEEE , 2012, 1221-1224 p.Conference paper (Refereed)
This paper presents a content-adaptive modeling and coding scheme for static multiview background scenes of soccer games. We discuss a content-adaptive modeling approach for static multiview background imagery that is based on piecewise geometric models of the content. We propose an approach that uses the Scale Invariant Feature Transform (SIFT) to extract the parameters of the geometric models. Moreover, a content-adaptive rendering approach is presented for handling occlusion problems in large baseline scenarios. The experimental results show that our content-adaptive modeling and coding scheme outperforms conventional DIBR schemes.
Place, publisher, year, edition, pages
IEEE , 2012. 1221-1224 p.
, International Conference on Image Processing. Proceedings, ISSN 1522-4880
contentadaptive modeling and rendering, Immersive networked experience, SIFT features
Electrical Engineering, Electronic Engineering, Information Engineering
IdentifiersURN: urn:nbn:se:kth:diva-105542DOI: 10.1109/ICIP.2012.6467086ISI: 000319334901075ScopusID: 2-s2.0-84875828043ISBN: 978-146732533-2OAI: oai:DiVA.org:kth-105542DiVA: diva2:571380
2012 19th IEEE International Conference on Image Processing, ICIP 2012; Lake Buena Vista, FL; 30 September 2012 through 3 October 2012
FunderICT - The Next Generation
QC 20130111. Student Paper Award Finalist.2012-11-222012-11-222013-08-22Bibliographically approved