A class of word-correcting convolutional codes is described. By a geometric argument it is proved that the minimum word distance of these codes is as large as possible.
Nonuniform video coding by means of multifoveal geometries
✍ Scribed by J.A. Rodríguez; C. Urdiales; A. Bandera; F. Sandoval
- Publisher
- John Wiley and Sons
- Year
- 2002
- Tongue
- English
- Weight
- 486 KB
- Volume
- 12
- Category
- Article
- ISSN
- 0899-9457
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✦ Synopsis
Abstract
This paper presents a control mechanism for video transmission that relies on transmitting nonuniform resolution images depending on the delay of the communication channel. These images are built in an active way to keep the areas of interest of the image at the highest resolution available. In order to shift the areas of high resolution over the image and to achieve a data structure that is easy to process by using conventional algorithms, a shifted foveal multiresolution geometry of adaptive size is used. If delays are too high, the resolution areas of the image can be transmitted at different rates. A functional system has been developed for corridor surveillance with static cameras. Tests with real video images have proven that the method allows an almost constant rate of images per second as long as the channel is not collapsed. A new method for determining the areas of interest is also proposed, based on hierarchical object tracking by means of adaptive stabilization of pyramidal structures. © 2002 John Wiley & Sons, Inc. Int J Imaging Syst Technol 12, 27–34, 2002
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