JOURNAL ARTICLE

Stereo video coding based on interpolated motion and disparity estimation

Abstract

In this paper, a new optimised method of coding stereoscopic image sequences is presented and compared with already known methods. Two basic methods of coding a stereoscopic image sequence are the compatible and joint. The first one uses MPEC for coding the left channel and takes advantage of the spatial disparity redundancy between the two sequences for coding the right channel. The second one employs MPEG for coding the left channel but takes advantage of both temporal redundancy among the right channel frames and spatial redundancy between the corresponding frames of the two channels The proposed method, which is called IMDE, estimates the P and B type of frames of the right channel by an interpolative scheme that takes in to account both the temporal and disparity characteristics. Investigating the effectiveness of the joint motion and disparity vectors estimation as well as the choice of the weighting factors that participate in the proposed interpolative scheme optimises the whole framework.

Keywords:
Computer science Computer vision Artificial intelligence Weighting Redundancy (engineering) Coding (social sciences) Stereoscopy Motion estimation Channel (broadcasting) Motion compensation Mathematics Telecommunications Statistics

Metrics

10
Cited By
1.54
FWCI (Field Weighted Citation Impact)
22
Refs
0.84
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Advanced Data Compression Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Image and Signal Denoising Methods
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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