Data modeling augmentation of JPEG for real-time streaming video

Holger M. Jaenisch; James W. Handley

doi:10.1117/12.603415

25 May 2005 Data modeling augmentation of JPEG for real-time streaming video

Holger M. Jaenisch, James W. Handley

Proceedings Volume 5817, Visual Information Processing XIV; (2005) https://doi.org/10.1117/12.603415
Event: Defense and Security, 2005, Orlando, Florida, United States

Abstract

This paper explores sub-sampling in conjunction with JPEG compression algorithms. Rather than directly compressing large high-resolution images, we propose decimation to thumbnails followed by compression. This enables Redundant Array of Independent Disks (RAID) compression and facilitates real-time streaming video with small bandwidth requirements. Image reconstruction occurs on demand at the receiver to any resolution required using Data Modeling based fractal interpolation. The receive side first uncompresses JPEG and then fractal interpolates to any required resolution. This device independent resolution capability is useful for real-time sharing of image data across virtual networks where each node has a different innate resolution capability. The same image is constructed to whatever limitations exist at each individual node, keeping image data device independent and image resolution scalable up or down as hardware/bandwidth limitations and options evolve.

Citation Download Citation

Holger M. Jaenisch and James W. Handley "Data modeling augmentation of JPEG for real-time streaming video", Proc. SPIE 5817, Visual Information Processing XIV, (25 May 2005); https://doi.org/10.1117/12.603415

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