Multiple Distortion Measures for Scalable Streaming with Jpeg2000

The increasing diversity of end-user devices and networks allow different users to receive and view images and video at different resolutions and rates. Scalable coding methods allow streaming media systems to easily adapt media by selecting packets according to schedules that reflect their importance. Traditional scheduling algorithms are based on a single distortion measure such as mean-squared error relative to the original high resolution image. In this paper, we present a new approach of using multiple distortion measures to schedule packets in a manner that explicitly accounts for a range of rates and resolutions. We show the effectiveness of this approach and examine a common scenario where multiple distortion measures are helpful. We present an algorithm that generates embedded JPEG2000 schedules and achieves 1 to 4 dB improvement over conventional approaches.