What makes an image popular?

By Aditya Khosla, Atish Das Sarma, Raffay Hamid. 2014

373 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

Citations in the corpus

Recognizing Image Style (2013, background): “For example, there has increasing recent effort in understanding image meaning, aesthetics, interestingness, popularity, and emotion (for example, [10, 12, 14, 16]), and style is an important part of meaning.”
RAPID: Rating Pictorial Aesthetics using Deep Learning (2014, background): “The problem of assessing image aesthetics is also relevant to recent work of image popularity estimation [14].”
Neural Compatibility Modeling with Attentive Knowledge Distillation (2018, methodology): “Regarding the visual modality, we applied the deep CNNs, which has proven to be the state-of-the-art model for image representation learning [2, 17, 23].”
Science vs Conspiracy: Collective Narratives in the Age of Misinformation (2014, background): “A large body of literature addresses the study of social dynamics on socio-technical systems from social contagion up to social reinforcement [19–37].”
Understanding and Predicting Image Memorability at a Large Scale (2015, methodology): “To create a varied dataset, we sampled images from a number of existing datasets such as MIR Flickr [11], AVA dataset [27], affective images dataset [25] (consisting of Art and Abstract datasets), image saliency datasets (MIT1003 [14] and NUSEF [28]), SUN [34], image popularity dataset [16], Abnorma”
A survey of multimodal sentiment analysis (2017, methodology): “and methodology of their work is similar to text-based sentiment analysis The current work on visual sentiment analysis including SentiBank [14] found its way into many multimedia content analysis work [144, 145] that are not directly linked to sentiment analysis.”
Chic or Social: Visual Popularity Analysis in Online Fashion Networks (2014, background): “Some very recent work has looked into visual inﬂuence on popularity or behavior [2, 6, 1, 7], or in the reverse direction, to categorize visual contents using social information [8].”