Title :
Probabilistic exhibition information estimation model for optimal configuration of exhibition space
Author :
Daehee Kim ; Seonah Mok ; Mikang Kim ; Joonki Paik
Author_Institution :
Dept. of Image, Chung-Ang Univ., Seoul, South Korea
Abstract :
We present an exhibition information model (EIM) by analyzing quantitative data for curators to configure the exhibition space. The proposed method consists of three steps: i) probabilistic interest prediction model (IPM), ii) mutual interest-based time prediction, and iii) spatial analysis for path prediction. The proposed method can be simulated in advance using the information of visitors and characteristics of the exhibition. The proposed simulation method can be applied to analyze the visitor´s behavior by detecting and tracking moving objects.
Keywords :
art; estimation theory; exhibitions; object detection; object tracking; probability; EIM; curators; exhibition space optimal configuration; moving object detection; moving object tracking; mutual interest-based time prediction; path prediction; probabilistic IPM; probabilistic exhibition information estimation model; probabilistic interest prediction model; spatial analysis; visitor behavior analysis; Analytical models; Computational modeling; Estimation; Metadata; Predictive models; Probabilistic logic; EIM simulation; exhibition information model; interest prediction model;
Conference_Titel :
Consumer Electronics (ISCE), 2015 IEEE International Symposium on
Conference_Location :
Madrid
DOI :
10.1109/ISCE.2015.7177832
