Multiple view geometry in computer visiond
Multiple view geometry in computer visiond
Real-time compression for dynamic 3D environments
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
A Performance Evaluation of Local Descriptors
IEEE Transactions on Pattern Analysis and Machine Intelligence
TEEVE: The Next Generation Architecture for Tele-immersive Environment
ISM '05 Proceedings of the Seventh IEEE International Symposium on Multimedia
Nonlinear disparity mapping for stereoscopic 3D
ACM SIGGRAPH 2010 papers
Robust distributed multiview video compression for wireless camera networks
IEEE Transactions on Image Processing
The H.264/MPEG4 advanced video coding standard and its applications
IEEE Communications Magazine
Efficient Prediction Structures for Multiview Video Coding
IEEE Transactions on Circuits and Systems for Video Technology
Introduction to the Special Section on Multiview Video Coding
IEEE Transactions on Circuits and Systems for Video Technology
Understanding the impact of inter-lens and temporal stereoscopic video compression
Proceedings of the 22nd international workshop on Network and Operating System Support for Digital Audio and Video
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In this paper, we propose a content-based, threaded stereoscopic video compression algorithm. We believe that it is likely future stereoscopic imaging systems will contain more than two lenses, allowing the display system to optimize the stereoscopic viewing experience. Furthermore, it will allow for the adjustment of framing (scene) composition errors that can arise from stereoscopic capture. Our proposed system uses 10 linearly aligned lenses. Upon capture, the images are run through a feature detection and matching algorithm in order to determine disparity between the stereoscopic images. During compression, the disparity measurements can be used to drive the selection of key frames within the image sets to provide better retrieval of data for display.