A novel application of deep learning with image cropping: a smart city use case for flood monitoring
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Reliable Intelligent Environments"
DOI: 10.1007/s40860-020-00099-x
Abstract: Event monitoring is an essential application of Smart City platforms. Real-time monitoring of gully and drainage blockage is an important part of flood monitoring applications. Building viable IoT sensors for detecting blockage is a complex… read more here.
Keywords: image; classification; image cropping; deep learning ... See more keywords
An Experience-Based Direct Generation Approach to Automatic Image Cropping
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DOI: 10.1109/access.2021.3100816
Abstract: Automatic Image Cropping is a challenging task with many practical downstream applications. The task is often divided into sub-problems - generating cropping candidates, finding the visually important regions, and determining aesthetics to select the most… read more here.
Keywords: image cropping; automatic image; generation; aspect ratio ... See more keywords
Data Augmentation Using Random Image Cropping and Patching for Deep CNNs
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2019.2935128
Abstract: Deep convolutional neural networks (CNNs) have achieved remarkable results in image processing tasks. However, their high expression ability risks overfitting. Consequently, data augmentation techniques have been proposed to prevent overfitting while enriching datasets. Recent CNN… read more here.
Keywords: cnns; random image; image; data augmentation ... See more keywords
Automatic Image Cropping for Visual Aesthetic Enhancement Using Deep Neural Networks and Cascaded Regression
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2018.2794262
Abstract: Despite recent progress, computational visual aesthetic is still challenging. Image cropping, which refers to the removal of unwanted scene areas, is an important step to improve the aesthetic quality of an image. However, it is… read more here.
Keywords: image; regression; image cropping; ccr method ... See more keywords
Learning the Relation Between Interested Objects and Aesthetic Region for Image Cropping
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2020.3029882
Abstract: As one of the fundamental techniques for image editing, image cropping discards irrelevant contents and remains the pleasing portions of the image to enhance the overall composition and achieve better visual/aesthetic perception. In this paper,… read more here.
Keywords: interested objects; image; relation interested; learning relation ... See more keywords
Image Cropping on Twitter: Fairness Metrics, their Limitations, and the Importance of Representation, Design, and Agency
Sign Up to like & getrecommendations! Published in 2021 at "Proceedings of the ACM on Human-Computer Interaction"
DOI: 10.1145/3479594
Abstract: Twitter uses machine learning to crop images, where crops are centered around the part predicted to be the most salient. In fall 2020, Twitter users raised concerns that the automated image cropping system on Twitter… read more here.
Keywords: fairness metrics; image cropping; fairness; agency ... See more keywords
G-DAIC: A Gaze Initialized Framework for Description and Aesthetic-Based Image Cropping
Sign Up to like & getrecommendations! Published in 2023 at "Proceedings of the ACM on Human-Computer Interaction"
DOI: 10.1145/3591132
Abstract: We propose a new gaze-initialised optimisation framework to generate aesthetically pleasing image crops based on user description. We extended the existing description-based image cropping dataset by collecting user eye movements corresponding to the image captions.… read more here.
Keywords: image cropping; gaze; based image; framework ... See more keywords