熵(时间箭头)
计算机科学
网页
描述性统计
图像(数学)
像素
情报检索
数学
统计
人工智能
万维网
物理
量子力学
作者
Xianjun Sam Zheng,Ishani Chakraborty,James Jeng-Weei Lin,Robert Rauschenberger
标识
DOI:10.1145/1518701.1518703
摘要
In this paper, we report a study that examines the relationship between image-based computational analyses of web pages and users' aesthetic judgments about the same image material. Web pages were iteratively decomposed into quadrants of minimum entropy (quadtree decomposition) based on low-level image statistics, to permit a characterization of these pages in terms of their respective organizational symmetry, balance and equilibrium. These attributes were then evaluated for their correlation with human participants' subjective ratings of the same web pages on four aesthetic and affective dimensions. Several of these correlations were quite large and revealed interesting patterns in the relationship between low-level (i.e., pixel-level) image statistics and design-relevant dimensions.
科研通智能强力驱动
Strongly Powered by AbleSci AI