Compressed image file formats: JPEG, PNG, GIF, XBM, BMP
Compressed image file formats: JPEG, PNG, GIF, XBM, BMP
Digital Video: An introduction to MPEG-2
Digital Video: An introduction to MPEG-2
Journal of VLSI Signal Processing Systems
An approach for imprecise transmission of TIFF image files through congested real-time ATM networks
LCN '97 Proceedings of the 22nd Annual IEEE Conference on Local Computer Networks
Applying imprecise algorithms to real-time image and video transmission
RTAS '95 Proceedings of the Real-Time Technology and Applications Symposium
Real-Time Scheduling of Hierarchical Reward-Based Tasks
RTAS '03 Proceedings of the The 9th IEEE Real-Time and Embedded Technology and Applications Symposium
An Imprecise Algorithm for Real-Time Compressed Image and Video Transmission
IC3N '97 Proceedings of the 6th International Conference on Computer Communications and Networks
Optimizing Real-Time Equational Rule-Based Systems
IEEE Transactions on Software Engineering
Shortening Matching Time in OPS5 Production Systems
IEEE Transactions on Software Engineering
Reducing Encoder Bit-Rate Variation in MPEG Video
Journal of VLSI Signal Processing Systems
Image Processing, Analysis, and Machine Vision
Image Processing, Analysis, and Machine Vision
RTSS'10 Proceedings of the 21st IEEE conference on Real-time systems symposium
Priority encoding transmission
IEEE Transactions on Information Theory - Part 1
International Journal of Web and Grid Services
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Since high-quality image/video systems based on the JPEG/MPEG compression standards often require power-expensive implementations at relatively high bit-rates, they have not been widely used in low-power wireless applications. To alleviate this problem, we designed, implemented, and evaluated a strategy that can adapt to different compression and transmission rates. (1) It gives important parts of an image higher priority over unimportant parts. Therefore, the high-priority parts can achieve high image quality, while the low-priority parts, with a slight sacrifice of quality, can achieve huge compression rate and thus save the power/energy of a low-power wireless system. (2) We also introduce a priority-driven scheduling approach into our coding algorithm, which makes the transmission of important parts earlier with more data than other parts. Through a balanced trade-off between the available time/bandwidth/power and the image quality, this adaptive strategy can satisfy users with desired images quality and lead to a significant reduction of the important parts' deadline misses.