Viewpoint switching in multiview videos using sp-frames

Ki Kit Lai, Yui Lam Chan, Chang Hong Fu, Wan Chi Siu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

6 Citations (Scopus)


The distinguishing feature of multiview video lies in the interactivity, which allows users to select their favourite viewpoint. It switches bitstream at a particular view when necessary instead of transmitting all the views. The new SP-frame in H.264 is originally developed for multiple bit-rate streaming with the support of seamless switching. The SP-frame can also be directly employed in the viewpoint switching of multiview videos. Notwithstanding the guarantee of seamless switching using SP-frames, the cost is the bulky size of secondary SP-frames. This induces a significant amount of additional space or bandwidth for storage or transmission, especially for the multiview scenario. For this reason, a new motion estimation and compensation technique operating in the quantized transform (QDCT) domain is designed for coding secondary SP-frame in this paper. Our proposed work aims at keeping the secondary SP-frames as small as possible without affecting the size of primary SP-frames by incorporating QDCT-domain motion estimation and compensation in the secondary SP-frame coding. Simulation results show that the size of secondary SP-frames can be reduced remarkably in viewpoint switching.
Original languageEnglish
Title of host publication2008 IEEE International Conference on Image Processing, ICIP 2008 Proceedings
Number of pages4
Publication statusPublished - 1 Dec 2008
Event2008 IEEE International Conference on Image Processing, ICIP 2008 - San Diego, CA, United States
Duration: 12 Oct 200815 Oct 2008


Conference2008 IEEE International Conference on Image Processing, ICIP 2008
Country/TerritoryUnited States
CitySan Diego, CA


  • Motion estimation
  • Multiview
  • QDCT-domain
  • SP-frame
  • Viewpoint switching

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing


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