A Straight Line-Based Distance Measure to Compute Photographic Compositional Dissimilarity

Authors:
Jooyeon Hwang;Dongsup Lim;Doowon Paik
Affiliations:
Department of Media, Soongsil University, Seoul, Korea;Department of Media, Soongsil University, Seoul, Korea;Department of Media, Soongsil University, Seoul, Korea
Venue:
FGIT '09 Proceedings of the 1st International Conference on Future Generation Information Technology
Year:
2009

Citing 5
Cited 0

Color indexing

International Journal of Computer Vision
Efficient and effective querying by image content

Journal of Intelligent Information Systems - Special issue: advances in visual information management systems
Querying by color regions using VisualSEEk content-based visual query system

Intelligent multimedia information retrieval
Computer Vision

Computer Vision
BASICS PHOTOGRAPHY: COMPOSITION (Basics Photo)

BASICS PHOTOGRAPHY: COMPOSITION (Basics Photo)

Quantified Score

Hi-index	0.00

Visualization

Abstract

According to a photography theory, lines are an important element that creates the composition and mood of a photo. In this paper, we propose a measure to compute photographic compositional dissimilarity using lines. To develop the distance measure, we investigate some attributes of line that classify composition of photos for line-used photos. And we implemented an image searching system which retrieves photo compositionally similar to given query to evaluate performance of the proposed measure. The searching system shows the precision of about 90% maximally and was capable of reliably retrieving compositionally similar to given query even if some objects were included in photos.