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Proceedings Paper

On media data structures for interactive streaming in immersive applications
Author(s): Gene Cheung; Antonio Ortega; Ngai-Man Cheung; Bernd Girod
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Paper Abstract

Interactive media streaming is the communication paradigm where an observer periodically requests new desired subsets from the streaming sender in real-time, upon which the sender sends the appropriate media data, corresponding to the received requests, for immediate decoding and display. This is in contrast to non-interactive media streaming, e.g., TV broadcast, where the entire media set is compressed and delivered to the observer before the observer interacts with the data (such as switching TV channels). Examples of interactive streaming abound in different media modalities: interactive browsing of JPEG2000 images, interactive light field or multiview video streaming, etc. Interactive media streaming has the obvious advantage of bandwidth efficiency: only the media subsets corresponding to observer's requests are transmitted. This is important when an observer only views a small subset out of a very large media data set during a typical streaming session. The technical challenge is how to structure media data such that good compression efficiency can be achieved by exploiting correlation among media subsets (thus inducing a particular decoding order if correlation is exploited during encoding), while providing sufficient flexibility for the observer to freely navigate the media data set in his/her desired unique order. In this overview paper, we survey different proposals in the literature that simultaneously achieve the conflicting objectives of compression efficiency and decoding flexibility.

Paper Details

Date Published: 30 July 2010
PDF: 10 pages
Proc. SPIE 7744, Visual Communications and Image Processing 2010, 77440O (30 July 2010); doi: 10.1117/12.863532
Show Author Affiliations
Gene Cheung, National Institute of Informatics (Japan)
Antonio Ortega, The Univ. of Southern California (United States)
Ngai-Man Cheung, Stanford Univ. (United States)
Bernd Girod, Stanford Univ. (United States)


Published in SPIE Proceedings Vol. 7744:
Visual Communications and Image Processing 2010
Pascal Frossard; Houqiang Li; Feng Wu; Bernd Girod; Shipeng Li; Guo Wei, Editor(s)

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