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Estimation of depth fields suitable for video compression based on 3-D structure and motion of objects
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Date
1998-6
Author
Alatan, Abdullah Aydın
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Intensity prediction along motion trajectories removes temporal redundancy considerably in video compression algorithms. In three-dimensional (3-D) object-based video coding, both 3-D motion and depth values are required for temporal prediction. The required 3-D motion parameters for each object are found by the correspondence-based E-matrix method. The estimation of the correspondences-two-dimensional (2-D) motion field-between the frames and segmentation of the scene into objects are achieved simultaneously by minimizing a Gibbs energy. The depth field is estimated by jointly minimizing a defined distortion and bit-rate criterion using the 3-D motion parameters. The resulting depth field is efficient in the rate-distortion sense, Bit-rate values corresponding to the lossless encoding of the resultant depth fields are obtained using predictive coding; prediction errors are encoded by a Lempel-Ziv algorithm. The results are satisfactory for real-life video scenes.
Subject Keywords
Dense depth estimation
,
Depth encoding
,
Motion analysis
,
Object-based video coding
,
Rate-distortion theory
,
3-D motion
,
3-D structure
URI
https://hdl.handle.net/11511/28567
Journal
IEEE Transactions on Image Processing
DOI
https://doi.org/10.1109/83.679440
Collections
Department of Electrical and Electronics Engineering, Article
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A. A. Alatan, “Estimation of depth fields suitable for video compression based on 3-D structure and motion of objects,”
IEEE Transactions on Image Processing
, pp. 904–908, 1998, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/28567.