Optimal slice size for streaming regions of high resolution video with virtual PAN/TILT/ZOOM functionality

Aditya Mavlankar, Pierpaolo Baccichet, David Varodayan, Bernd Girod

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

High resolution digital imaging sensors are becoming more widespread. The challenges in delivering this high resolution content to the client are posed by limited resolution of display panels and/or limited bit-rate for communications. We propose a video coding scheme which enables virtual pan/tilt/zoom functionality during the streaming session. This way the server can adapt and stream only those regions of the video content that are desired at that time at the client's end. Apart from generating a multi-resolution representation, our coding scheme uses P slices from H.264/AVC for random access to arbitrary regions within every spatial resolution. We study the trade-off in the choice of slice size. A larger slice size enables higher coding efficiency for representing the entire scene but increases the pixel overhead. The pixel overhead is due to superfluous pixels that are transmitted but not displayed at the client's end. The optimal slice size achieves the best trade-off and minimizes the expected number of bits transmitted to the client per frame. Our analysis helps to predict the optimal slice size, which depends on the signal as well as the display resolution. Experimental results confirm the optimality of the predicted slice size for various test cases.

Original languageEnglish (US)
Title of host publication15th European Signal Processing Conference, EUSIPCO 2007 - Proceedings
Pages1275-1279
Number of pages5
StatePublished - Dec 1 2007
Event15th European Signal Processing Conference, EUSIPCO 2007 - Poznan, Poland
Duration: Sep 3 2007Sep 7 2007

Publication series

NameEuropean Signal Processing Conference
ISSN (Print)2219-5491

Conference

Conference15th European Signal Processing Conference, EUSIPCO 2007
CountryPoland
CityPoznan
Period9/3/079/7/07

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering

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