Digital Video: An introduction to MPEG-2
Digital Video: An introduction to MPEG-2
A scheme for spatial scalability using nonscalable encoders
IEEE Transactions on Circuits and Systems for Video Technology
Supporting zoomable video streams with dynamic region-of-interest cropping
MMSys '10 Proceedings of the first annual ACM SIGMM conference on Multimedia systems
Towards characterizing users' interaction with zoomable video
Proceedings of the 2010 ACM workshop on Social, adaptive and personalized multimedia interaction and access
Adaptive encoding of zoomable video streams based on user access pattern
MMSys '11 Proceedings of the second annual ACM conference on Multimedia systems
Supporting region-of-interest cropping through constrained compression
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Annotation based personalized adaptation and presentation of videos for mobile applications
Multimedia Tools and Applications
Adaptive encoding of zoomable video streams based on user access pattern
Image Communication
On tile assignment for region-of-interest video streaming in a wireless LAN
Proceedings of the 22nd international workshop on Network and Operating System Support for Digital Audio and Video
Surveillance video synopsis in the compressed domain for fast video browsing
Journal of Visual Communication and Image Representation
Mixing Tile Resolutions in Tiled Video: A Perceptual Quality Assessment
Proceedings of Network and Operating System Support on Digital Audio and Video Workshop
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The ability to create very high-resolution video is becoming relative easy to do today, either through a single high definition video camera or panoramic video stitched from multiple cameras. This means that supporting region-of-interest cropping will become more important in the future. In this paper, we propose a mechanism to support region-of-interest adaptation of stored video. The proposed approach creates a compression compliant stream (e.g., MPEG-2), while still allowing it to be cropped. Using data from a motion-picture industry video camera, we show that the proposed approach, while adding a small amount of overhead, can be used to efficiently crop large resolution video into a smaller stream.