Subject Bias in Image Aesthetic Appeal Ratings
Journal Title: Data Science: Journal of Computing and Applied Informatics - Year 2017, Vol 1, Issue 1
Abstract
Automatic prediction of image aesthetic appeal is an important part of multimedia and computer vision research, as it contributes to providing better content quality to users. Various features and learning methods have been proposed in the past to predict image aesthetic appeal more accurately. The effectiveness of these proposed methods often depend on the data used to train the predictor. Since aesthetic appeal is a subjective construct, factors that influence the subjectivity in aesthetic appeal data need to be understood and addressed. In this paper, we look into the subjectivity of aesthetic appeal data, and how it relates with image characteristics that are often used in aesthetic appeal prediction. We use subject bias and confidence interval to measure subjectivity, and check how they might be influenced by image content category and features.
Authors and Affiliations
Ernestasia Siahaan, Esther Nababan
Keywords
Related Articles
- EP ID EP435198
- DOI 10.32734/jocai.v1.i1-63
- Views 50
- Downloads 0
A Framework to Ensure Data Integrity and Safety
The technology development allows people to more easily communicate and convey information. The current communication media can facilitate its users to send and receive digital data, such as text, sound or digital image....
The Determining Gender Using Facial Recognition Based On Neural Network With Backpropagation
One area of science that can apply facial recognition applications is artificial intelligence. The algorithms used in facial recognition are quite numerous and varied, but they all have the same three basic stages, face...
Using random search and brute force algorithm in factoring the RSA modulus
Abstract. The security of the RSA cryptosystem is directly proportional to the size of its modulus, n. The modulus n is a multiplication of two very large prime numbers, notated as p and q. Since modulus n is public, a c...
Subject Bias in Image Aesthetic Appeal Ratings
Automatic prediction of image aesthetic appeal is an important part of multimedia and computer vision research, as it contributes to providing better content quality to users. Various features and learning methods have b...
On Factoring The RSA Modulus Using Tabu Search
It is intuitively clear that the security of RSA cryptosystem depends on the hardness of factoring a very large integer into its two prime factors. Numerous studies about integer factorization in the field of number theo...