| EPSRC Reference: |
GR/J52563/01 |
| Title: |
IMAGE COMPRESSION AND CODING BASED ON GLOBAL 3D MOTION ESTIMATION |
| Principal Investigator: |
Kittler, Professor J |
| Other Investigators: |
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| Researcher Co-Investigators: |
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| Project Partners: |
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| Department: |
Sch of Electronics & Physical Sciences |
| Organisation: |
University of Surrey |
| Scheme: |
Standard Research (Pre-FEC) |
| Starts: |
01 April 1994 |
Ends: |
30 September 1997 |
Value (£): |
151,176
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| EPSRC Research Topic Classifications: |
| Digital Signal Processing |
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| EPSRC Industrial Sector Classifications: |
| Aerospace, Defence and Marine |
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| Panel History: |
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Summary on Grant Application Form |
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The aim of the research is to develop methodology and algorithms for global motion estimation from image sequences, which can handle camera translation. The context of the investigation is image compression and coding. One of the primary research objectives is to test the scientific hypothesis that a global motion compensation scheme that exploits a full camera motion model can achieve lower bit rates compared to existing methods.Progress:The principal idea of the approach is to estimate the motion parameters of the camera. This information, together with image depth map should allow the next frame of the image sequence to be predicted, and by coding only the errors between the predicted frame and the true frame, a significant bit rate reduction should be achieved. The estimation of the camera motion parameters and the image depth map (motion, and structure from motion estimation) normally requires that distinctive features be detected in two consecutive images and their correspondence established.During the first year of the project the research activity has been focused on the development of the necessary infrastructure and basic building blocks required to carry out the above investigation. On the infrastructure front, a video disc has been acquired and installed to acquire test image sequences and to facilitate the display of processed image sequences for subjective assessment of algorithm performance.The development of robust statistical estimation methods has continued with an extensive evaluation of relative merits of different robust estimation kernels. The estimation scheme developed provides information concerning the reliability of motion estimates.The approach requires an image depth map being available for the motion compensated image frame reconstruction. Investigation of the main aspect of motion based depth estimation, namely the correspondence analysis problem, has commenced.
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Key Findings |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Potential use in non-academic contexts |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
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| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
| Summary |
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| Date Materialised |
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Sectors submitted by the Researcher |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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| Project URL: |
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| Further Information: |
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| Organisation Website: |
http://www.surrey.ac.uk |