Adaptive Live Video Streaming by Priority Drop

ABSTRACT

In this paper we explore the use of Priority-progress streaming (PPS) for video surveillance applications. PPS is an adaptive streaming technique for the delivery of continuous media over variable bit-rate channels. It is based on the simple idea of reordering media components within a time window into priority order before transmission. The main concern when using PPS for live video streaming is the time delay introduced by reordering. In this paper we describe how PPS can be extended to support live streaming and show that the delay inherent in the approach can be tuned to satisfy a wide range of latency constraints while supporting fine-grain adaptation.

Index Terms

• Applied computing

  • Document management and text processing

    • Document preparation

      • Multi / mixed media creation

• Computing methodologies

  • Artificial intelligence

    • Computer vision

      • Computer vision problems

        • Video segmentation

      • Computer vision tasks

        • Video summarization

      • Image and video acquisition

• General and reference

  • Cross-computing tools and techniques

    • Performance

• Human-centered computing

  • Human computer interaction (HCI)

    • Interaction paradigms

      • Hypertext / hypermedia

• Mathematics of computing

  • Probability and statistics

    • Statistical paradigms

      • Queueing theory