Data modeling augmentation of JPEG for real-time streaming video
Jaenisch, Holger M., and Handley, James W. (2005) Data modeling augmentation of JPEG for real-time streaming video. In: Proceedings of SPIE 2005 (5817), pp. 258-269. From: Visual Information Processing XIV, 29 March 2005, Orlando, FL, USA.
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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.
|Item Type:||Conference Item (Refereed Research Paper - E1)|
|Keywords:||data modeling; JPEG; JPEG2000; image compression; decimation; bandwidth; image resolution|
|Date Deposited:||13 Dec 2010 00:57|
|FoR Codes:||02 PHYSICAL SCIENCES > 0299 Other Physical Sciences > 029999 Physical Sciences not elsewhere classified @ 100%|
|SEO Codes:||97 EXPANDING KNOWLEDGE > 970102 Expanding Knowledge in the Physical Sciences @ 100%|
|Citation Count from Scopus||