Panoramic video capturing and compressed domain virtual camera control
MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia
Smart Cameras as Embedded Systems
Computer
Multiple video object tracking in complex scenes
Proceedings of the tenth ACM international conference on Multimedia
Static Global Scheduling for Optimal Computer Vision and Image Processing Operations on Distributed-Memory Multiprocessor
A hybrid network of autonomous sensor nodes
Proceedings of the 2nd European Union symposium on Ambient intelligence
Object tracking using adaptive block matching
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 3 (ICME '03) - Volume 03
Motion Analysis and Image Sequence Processing (The International Series in Engineering and Computer Science)
Ambient Intelligence: A Multimedia Perspective
IEEE MultiMedia
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Successful proliferation of multimedia-enabled devices and advances in very large-scale integration (VLSI) technology has spawned new research efforts in migrating video processing applications onto ever smaller and more inexpensive devices. This article focuses on the technical challenges associated with that migration. Due to limitations in size, battery lifetime, and, ultimately, cost, mapping complex video applications onto resource-constrained systems is a very challenging proposition. To this end, we first consider a technique, region-of-interest (ROI) processing, of defining a window within a video frame and only operating on the data inside that window, ignoring the rest of the frame. By using this lossy technique, the processing requirements can be reduced by roughly 80% while the error introduced in the quality of the results is roughly 10%. The other technique is adaptive data partitioning (ADP) combined with a content-based power management algorithm. By distributing video processing among multiple processors and shutting them down when they are not needed, the energy consumed per processor can be reduced by 60% without sacrificing the performance of the underlying video-based application. Taken together, these novel techniques enable ambient multimedia systems and maintain the needed overall efficiency in video processing.