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Technical Program
Paper Detail
| Paper: | TP-P8.6 |
| Session: | Multiresolution Processing |
| Time: | Tuesday, October 10, 14:20 - 17:00 |
| Presentation: |
Poster
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| Title: |
MMR: MASK BASED MULTI-RESOLUTION IMAGES AND VIDEOS |
| Authors: |
Siddhartha Chattopadhyay; University of Georgia | | | | | Suchendra Bhandarkar; University of Georgia | | |
| Abstract: |
Multi-resolution quad-tree based image representations are useful for image and video encoding at varying bit rates. Existing algorithms use a difference measure of color values to trim branches of the quad-tree, which results in the various spatial regions of the image being represented at different resolutions. However, color difference-based quad-tree branch pruning often leads to sub-optimal multiresolution images, where interesting features of the image are represented at low resolution, and/or uninteresting image regions are represented at high resolution. In this paper, we present a mask-based method for pruning a quadtree representation of a multi-resolution image. The masks highlight various features of the image which require the best resolution, allowing tightly controlled pruning of the quad-tree branches. We suggest three main groups of masks, which are suitable for most types of applications requiring multi-resolution images and videos. |
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