Composition-preserving deep photo aesthetics assessment
Photo aesthetics assessment is challenging. Deep convolutional neural network (ConvNet)
methods have recently shown promising results for aesthetics assessment. The performance …
methods have recently shown promising results for aesthetics assessment. The performance …
Computational aesthetics and applications
Y Bo, J Yu, K Zhang - Visual computing for industry, biomedicine, and art, 2018 - Springer
Computational aesthetics, which bridges science and art, is emerging as a new
interdisciplinary field. This paper concentrates on two main aspects of computational …
interdisciplinary field. This paper concentrates on two main aspects of computational …
Emerging trends in security system design using the concept of social behavioural biometrics
This chapter investigates how existing biometric research can be advanced by integrating it
with the social behavioural information. Analytical discussions on how social behavioural …
with the social behavioural information. Analytical discussions on how social behavioural …
2D and 3D image quality assessment: A survey of metrics and challenges
Y Niu, Y Zhong, W Guo, Y Shi, P Chen - IEEE Access, 2018 - ieeexplore.ieee.org
Image quality is important not only for the viewing experience, but also for the performance
of image processing algorithms. Image quality assessment (IQA) has been a topic of intense …
of image processing algorithms. Image quality assessment (IQA) has been a topic of intense …
Predicting aesthetic score distribution through cumulative jensen-shannon divergence
Aesthetic quality prediction is a challenging task in the computer vision community because
of the complex interplay with semantic contents and photographic technologies. Recent …
of the complex interplay with semantic contents and photographic technologies. Recent …
ILGNet: Inception modules with connected local and global features for efficient image aesthetic quality classification using domain adaptation
In this study, the authors address a challenging problem of aesthetic image classification,
which is to label an input image as high‐or low‐aesthetic quality. We take both the local and …
which is to label an input image as high‐or low‐aesthetic quality. We take both the local and …
Deep image aesthetics classification using inception modules and fine-tuning connected layer
X Jin, J Chi, S Peng, Y Tian, C Ye… - 2016 8th international …, 2016 - ieeexplore.ieee.org
In this paper we investigate the image aesthetics classification problem, aka, automatically
classifying an image into low or high aesthetic quality, which is quite a challenging problem …
classifying an image into low or high aesthetic quality, which is quite a challenging problem …
Leveraging expert feature knowledge for predicting image aesthetics
The ability to rank the images based on their appearance finds many real-world
applications, such as image retrieval or image album creation. Despite the recent …
applications, such as image retrieval or image album creation. Despite the recent …
Preference-aware view recommendation system for scenic photos based on bag-of-aesthetics-preserving features
In this paper, the framework for a real-time view recommendation system is proposed. The
proposed system comprises two parts: offline aesthetic modeling stage and efficient online …
proposed system comprises two parts: offline aesthetic modeling stage and efficient online …
Is a picture worth a thousand views? Measuring the effects of travel photos on user engagement using deep learning algorithms
Travel photos inform and inspire consumers by conveying a first-hand destination
experience. Despite the proliferation of consumer-generated travel photos in online travel …
experience. Despite the proliferation of consumer-generated travel photos in online travel …