Sentiment analysis aims to automatically uncover the underlying attitude that we hold
towards an entity. The aggregation of these sentiment over a population represents opinion …

We address the challenge of sentiment analysis from visual content. In contrast to existing
methods which infer sentiment or emotion directly from visual low-level features, we propose …

There is an increasing interest in understanding users' attitude or sentiment towards a
specific topic (eg, a brand) from the large repository of opinion-rich data on the Web. While …

Micro-videos, a new form of user generated contents (UGCs), are gaining increasing
enthusiasm. Popular micro-videos have enormous commercial potential in many ways, such …

Recently, a prevailing trend of user generated content (UGC) on social media sites is the
emerging micro-videos. Microvideos afford many potential opportunities ranging from …

This paper studies the problem of modeling object-based visual concepts such as" crazy
car" and" shy dog" with a goal to extract emotion related information from social multimedia …

Computational image aesthetics aims at designing algorithmic approaches to perform
aesthetic decisions, in a similar fashion as humans. In the past fifteen years, computational …

Residual learning has recently surfaced as an effective means of constructing very deep
neural networks for object recognition. However, current incarnations of residual networks …

Danmaku is an emerging comment design for videos that allows real-time, interactive
comments from viewers. Danmaku increases viewers' interaction with other viewers and …

Animated GIFs are everywhere on the Web. Our work focuses on the computational
prediction of emotions perceived by viewers after they are shown animated GIF images. We …