Content-driven adaptation of on-line video
Image Communication
Moving object detection in the H.264/AVC compressed domain for video surveillance applications
Journal of Visual Communication and Image Representation
Robust Estimation of Camera Motion Using Optical Flow Models
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part I
A robust method for camera motion estimation in movies based on optical flow
International Journal of Intelligent Systems Technologies and Applications
Proceedings of the 22nd international workshop on Network and Operating System Support for Digital Audio and Video
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This work describes a two stages algorithm for camera motion analysis. First, it detects frames defining changes in the camera motion pattern, and then characterises the motion pattern for each video segment. The proposed scheme is motivated by hierarchical content-aware adaptation of on-line video. Its main characteristics are on-line operation, direct analysis on the compressed domain, efficiency and robustness. Results are similar to those achieved by state-of-the-art camera motion classification schemes based on iterative fitting to a motion model, despite involving a significantly smaller number of operations.*