DCT-domain image registration techniques for compressed video

A technique for image registration in compressed video, such as motion JPEG or the I-picture of MPEG, is investigated. The technique is based on DCT (discrete cosine transform) coefficient matching. First, the coarse edge features are extracted by applying several edge detectors to luminance DC coef...

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Bibliographic Details
Main Authors: Ming-Sui Lee, Meiyin Shen, Yoneyama, A., Jay Kuo, C.-C.
Format: Conference Proceeding
Language:English
Subjects:
Computational efficiency
Detectors
Discrete cosine transforms
Feature extraction
Image coding
Image edge detection
Image generation
Image registration
Transform coding
Video compression
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Description
Summary:A technique for image registration in compressed video, such as motion JPEG or the I-picture of MPEG, is investigated. The technique is based on DCT (discrete cosine transform) coefficient matching. First, the coarse edge features are extracted by applying several edge detectors to luminance DC coefficients. Each detector generates one difference map for a single input image. A threshold is set up for each difference map to produce a binary map. Then, the alignment parameters are determined based on the binary maps of both input images generated by the same detector. Finally, the actual displacement in the pixel domain is calculated by averaging parameters from all detectors. Experimental results show that the proposed method reduces the computational cost of image registration dramatically as compared with the pixel domain and edge-based DCT domain registration techniques, while achieving a certain quality of composition.
ISSN:0271-4302
2158-1525
DOI:10.1109/ISCAS.2005.1465647