Efficient Data Transmission Method Considering Hierarchical Data Structure

Author(s):  
SeoYoon Jang ◽  
JiHoon Kang
Author(s):  
Chunxia Xiao ◽  
Meng Liu ◽  
Donglin Xiao ◽  
Zhao Dong ◽  
Kwan-Liu Ma

Author(s):  
ANDREAS DENGEL

The objective of this paper is to propose a syntactic formalism for space representation, which besides the well known advantages of hierarchical data structure, has the additional strength of self-adapting to a spatial structure at hand. The formalism is called puzzletree because its generation results in a number of blocks which in a certain order — like a puzzle — reconstruct the original space. The approach may be applied to any higher-dimensioned space (e.g. images, volumes). The paper concentrates on the principles of puzzletrees by explaining the underlying heuristic for their generation with respect to 2D spaces, i.e. images.


Author(s):  
Takahiko Tsuchiya ◽  
Jason Freeman

Auditory-display research has had a largely unsolved challenge of balancing functional and aesthetic considerations. While functional designs tend to reduce musical expressivity for the fidelity of data, aesthetic or musical sound organization arguably has a potential for representing multi-dimensional or hierarchical data structure with enhanced perceptibility. Existing musical designs, however, generally employ nonlinear or interpretive mappings that hinder the assessment of functionality. The authors propose a framework for designing expressive and complex sonification using small timescale musical hierarchies, such as the harmony and timbral structures, while maintaining data integrity by ensuring a close-to-the-original recovery of the encoded data utilizing descriptive analysis by a machine listener.


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