Dynamic programming-based reverse frame selection for VBR video delivery under constrained resources

Tao Dayong, Jianfei Cai, Haoran Yi, Deepu Rajan, Liang Tien Chia, King Ngi Ngan

Research output: Contribution to journalArticleResearchpeer-review

5 Citations (Scopus)


In this paper, we investigate optimal frame-selection algorithms based on dynamic programming for delivering stored variable bit rate (VBR) video under both bandwidth and buffer size constraints. Our objective is to find a feasible set of frames that can maximize the video's accumulated motion values without violating any constraint. It is well known that dynamic programming has high complexity. In this research, we propose to eliminate nonoptimal intermediate frame states, which can effectively reduce the complexity of dynamic programming. Moreover, we propose a reverse frame selection (RFS) algorithm, where the selection starts from the last frame and ends at the first frame. Compared with the conventional dynamic programming-based forward frame selection, the RFS is able to find all of the optimal results for different preloads in one round. We further extend the RFS scheme to solve the problem of frame selection for VBR channels. In particular, we first perform the RFS algorithm offline, and the complexity is modest and scalable with the aids of frame stuffing and nonoptimal state elimination. During online streaming, we only need to retrieve the optimal frame-selection path from the pregenerated offline results, and it can be applied to any VBR channels as long as the VBR channels can be modeled as piecewise CBR channels. Experimental results show good performance of our proposed algorithms.

Original languageEnglish
Pages (from-to)1362-1374
Number of pages13
JournalIEEE Transactions on Circuits and Systems for Video Technology
Issue number11
Publication statusPublished - Nov 2006
Externally publishedYes


  • Bandwidth smoothing
  • Dynamic programming
  • Motion awareness
  • Optimal frame selection
  • Variable bit rate (VBR) channels
  • VBR video delivery

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