earticle

논문검색

Sound Feature-Driven Painterly Rendering

초록

영어

In this paper, we propose a new painterly rendering technique for visualizing sound, based on correlation between sight and auditory. We analyze the sound feature to create an image of an intense atmosphere or a relaxing atmosphere which is dependent upon the input sound. We analyze the tempo and the frequency which are the basic characteristics of sound features. Sound features are used to determine strokes shape and color which are the crucial elements to complete the pictorial rendering. In addition, during the rendering process, we use a multiple layer system to overlap the layers. From this study, we can create a non-photorealistic image which is suitable for the mood of the music.

목차

Abstract
 1. Introduction
 2. Related Work
 3. System Overview
 4. Sound Feature Extraction
  4.1. Tempo Extraction
  4.2. Frequency Analysis
 5. Painterly Rendering
  5.1. Stroke Shape
  5.2. Stroke Color
  5.3. Stroke Placement
 6. Results
 7. Conclusion and Future Work
 Acknowledgements
 References

저자정보

  • Kyeong A Kwon Dept. of Computer science, Sungshin Women’s University
  • Hae Won Byun Dept. of Computer science, Sungshin Women’s University

참고문헌

자료제공 : 네이버학술정보

    함께 이용한 논문

      ※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.

      0개의 논문이 장바구니에 담겼습니다.