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Color in Tibetan Buddhism Communication Via Mani Heaps

Authors:

Han Sun,

Zhijun Peng, and

Kang ZhangAuthors Info & Claims

VINCI '19: Proceedings of the 12th International Symposium on Visual Information Communication and Interaction

September 2019

Article No.: 31, Pages 1 - 2

https://doi.org/10.1145/3356422.3356453

Published: 20 September 2019 Publication History

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Abstract

This short article presents our preliminary work on color usage and distribution in Mani heaps, a form of Tibetan folk art and a physical means of visual communication in Tibetan Buddhism and culture. We have collected visual images of 70 Mani heaps in Ding Qing County, one of most heavily Mani heaps concentrated regions in Tibet. By quantifying the color distribution and identifying the dominant colors, we could further our studies to investigate different branches of Tibetan Buddhism and their color preferences.

References

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Index Terms

Color in Tibetan Buddhism Communication Via Mani Heaps
1. Applied computing
  1. Arts and humanities
    1. Fine arts

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VINCI '19: Proceedings of the 12th International Symposium on Visual Information Communication and Interaction

September 2019

201 pages

ISBN:9781450376266

DOI:10.1145/3356422

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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East China Normal University

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Association for Computing Machinery

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Published: 20 September 2019

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VINCI'2019

VINCI'2019: The 12th International Symposium on Visual Information Communication and Interaction

September 20 - 22, 2019

Shanghai, China

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Color recovery of black-and-white halftoned images via categorized color-embedding look-up tables

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Background replacement using chromatic adaptation transform for visual communication

Color recovery of black-and-white halftoned images via categorized color-embedding look-up tables

Underwater image enhancement by color correction and color constancy via Retinex for detail preserving

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