Digital video processing
A study on video browsing strategies
A study on video browsing strategies
Digital Video and Audio Compression
Digital Video and Audio Compression
Video Processing and Communications
Video Processing and Communications
The future of video: user experience in a large-scale, high-definition video display environment
Proceedings of the 2005 ACM SIGCHI International Conference on Advances in computer entertainment technology
New frame rate up-conversion using bi-directional motion estimation
IEEE Transactions on Consumer Electronics
Adaptive motion-compensated interpolation for frame rate up-conversion
IEEE Transactions on Consumer Electronics
Rate-constrained multihypothesis prediction for motion-compensated video compression
IEEE Transactions on Circuits and Systems for Video Technology
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Motion compensated interpolation (MCI) refers to the process of taking a video sequence, finding motion information, and then using that information to produce interpolated video frames between source frames. In this study, we compare two MCI techniques: adjacent-frame motion compensated interpolation (AF-MCI) and wide-span motion compensated interpolation (WS-MCI). Using reproducible artificially generated video sequences, the methods are quantitatively compared with the objective of optimizing interpolated frame quality relative to control interpolated frames. This is useful because on a large flat-panel display with high resolution (such as HDTV), frame transition coherence becomes a crucial factor in assessing the quality of the user's viewing experience. To enhance MCI, the encoder should attempt to exploit long-term statistical dependencies, precisely estimate motion by modeling the motion vector field, and superimpose efficient prediction/interpolation algorithms. WS-MCI achieves this. Computer simulations using artificially generated video sequences demonstrate the consistent advantage of WS-MCI over adjacent-frame MCI under increasingly complex source scenes and chaotic occlusion conditions.