Computational understanding of visual interestingness beyond semantics: literature survey and analysis of covariates
Understanding visual interestingness is a challenging task addressed by researchers in
various disciplines ranging from humanities and psychology to, more recently, computer …
various disciplines ranging from humanities and psychology to, more recently, computer …
Learning to rank for blind image quality assessment
Blind image quality assessment (BIQA) aims to predict perceptual image quality scores
without access to reference images. State-of-the-art BIQA methods typically require subjects …
without access to reference images. State-of-the-art BIQA methods typically require subjects …
Towards the design of a consistent image contrast enhancement evaluation measure
Abstract Contrast Enhancement Evaluation (CEE) is a very challenging problem. In this
work, we provide a detailed performance analysis of CEE measures. The study was …
work, we provide a detailed performance analysis of CEE measures. The study was …
Three-dimensional visual comfort assessment via preference learning
Three-dimensional (3-D) visual comfort assessment (VCA) is a particularly important and
challenging topic, which involves automatically predicting the degree of visual comfort in line …
challenging topic, which involves automatically predicting the degree of visual comfort in line …
Beyond the buzzwords: On the perspective of ai in ux and vice versa
Abstract Integrating Artificial Intelligence (AI) technologies promises to open new
possibilities for the development of smart systems and the creation of positive user …
possibilities for the development of smart systems and the creation of positive user …
Analyzing and predicting GIF interestingness
Animated GIFs have regained huge popularity. They are used in instant messaging, online
journalism, social media, among others. In this paper, we present an in-depth study on the …
journalism, social media, among others. In this paper, we present an in-depth study on the …
The quest for visual interest
M Soleymani - Proceedings of the 23rd ACM international conference …, 2015 - dl.acm.org
In this paper, we report on identifying the underlying factors that contribute to the visual
interest in digital photos. A set of 1005 digital photos covering different topics and of different …
interest in digital photos. A set of 1005 digital photos covering different topics and of different …
Style-adaptive photo aesthetic rating via convolutional neural networks and multi-task learning
Photo aesthetic rating aims at automatically and precisely evaluating the pictorial aesthetic
score. Recently, great progresses has been achieved in this area due to the fabulous ability …
score. Recently, great progresses has been achieved in this area due to the fabulous ability …
Increasing image memorability with neural style transfer
Recent works in computer vision and multimedia have shown that image memorability can
be automatically inferred exploiting powerful deep-learning models. This article advances …
be automatically inferred exploiting powerful deep-learning models. This article advances …
Individualizing generic communications
EA Fedorovskaya, RS Cok - US Patent 8,842,882, 2014 - Google Patents
A method of making individualized communications includes providing one or more images
including each of a plurality of individuals, automatically extracting one or more individual …
including each of a plurality of individuals, automatically extracting one or more individual …