Costs and advantages of object-based image coding with shape-adaptive wavelet transform
Journal on Image and Video Processing
Designing 3 Dimensional Virtual Reality Using Panoramic Image
IVIC '09 Proceedings of the 1st International Visual Informatics Conference on Visual Informatics: Bridging Research and Practice
Supporting zoomable video streams with dynamic region-of-interest cropping
MMSys '10 Proceedings of the first annual ACM SIGMM conference on Multimedia systems
Camera motion analysis towards semantic-based video retrieval in compressed domain
SAMT'07 Proceedings of the semantic and digital media technologies 2nd international conference on Semantic Multimedia
Adaptive video presentation for small display while maximize visual information
VISUAL'07 Proceedings of the 9th international conference on Advances in visual information systems
Proceedings of the 12th international ACM SIGACCESS conference on Computers and accessibility
Supporting region-of-interest cropping through constrained compression
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Improving classroom visual accessibility with cooperative smartphone recordings
ACM SIGCAS Computers and Society - Special Issue on Selected Papers from ISTAS 2011
Virtual speaker tracking by camera using a sound source localisation with two microphones
International Journal of Networking and Virtual Organisations
Hybrid robotic/virtual pan-tilt-zom cameras for autonomous event recording
Proceedings of the 21st ACM international conference on Multimedia
Interactive Zoom and Panning from Live Panoramic Video
Proceedings of Network and Operating System Support on Digital Audio and Video Workshop
Proceedings of the 5th ACM Multimedia Systems Conference
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We present a system for automatically extracting the region of interest (ROI) and controlling virtual cameras' control based on panoramic video. It targets applications such as classroom lectures and video conferencing. For capturing panoramic video, we use the FlyCam system that produces high resolution, wide-angle video by stitching video images from multiple stationary cameras. To generate conventional video, a region of interest can be cropped from the panoramic video. We propose methods for ROI detection, tracking, and virtual camera control that work in both the uncompressed and compressed domains. The ROI is located from motion and color information in the uncompressed domain and macroblock information in the compressed domain, and tracked using a Kalman filter. This results in virtual camera control that simulates human controlled video recording. The system has no physical camera motion and the virtual camera parameters are readily available for video indexing.