Paper
22 April 1996 Image compression and decompression based on gazing area
Author Affiliations +
Proceedings Volume 2657, Human Vision and Electronic Imaging; (1996) https://doi.org/10.1117/12.238733
Event: Electronic Imaging: Science and Technology, 1996, San Jose, CA, United States
Abstract
In this paper, we introduce a new method of data compression and decompression technique to search the aimed image based on the gazing area of the image. Many methods of data compression have been proposed. Particularly, JPEG compression technique has been widely used as a standard method. However, this method is not always effective to search the aimed images from the image filing system. In a previous paper, by the eye movement analysis, we found that images have a particular gazing area. It is considered that the gazing area is the most important region of the image, then we considered introducing the information to compress and transmit the image. A method named fixation based progressive image transmission is introduced to transmit the image effectively. In this method, after the gazing area is estimated, the area is first transmitted and then the other regions are transmitted. If we are not interested in the first transmitted image, then we can search other images. Therefore, the aimed image can be searched from the filing system, effectively. We compare the searching time of the proposed method with the conventional method. The result shows that the proposed method is faster than the conventional one to search the aimed image.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Norimichi Tsumura, Chizuko Endo, Hideaki Haneishi, and Yoichi Miyake "Image compression and decompression based on gazing area", Proc. SPIE 2657, Human Vision and Electronic Imaging, (22 April 1996); https://doi.org/10.1117/12.238733
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Cited by 28 scholarly publications.
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KEYWORDS
Image transmission

Image compression

Image quality

Data compression

Eye

CRTs

Medical imaging

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