Visual target tracking is one of the most sought-after yet challenging research topics in
computer vision. Given the ill-posed nature of the problem and its popularity in a broad …

Visual Sentiment Analysis aims to understand how images affect people, in terms of evoked
emotions. Although this field is rather new, a broad range of techniques have been …

Matching pedestrians across multiple camera views known as human re-identification (re-
identification) is a challenging problem in visual surveillance. In the existing works …

We propose a method for automatically answering questions about images by bringing
together recent advances from natural language processing and computer vision. We …

We study the problem of object classification when training and test classes are disjoint, ie
no training examples of the target classes are available. This setup has hardly been studied …

Emotions can be evoked in humans by images. Most previous works on image emotion
analysis mainly used the elements-of-art-based low-level visual features. However, these …

Images can affect people on an emotional level. Since the emotions that arise in the viewer
of an image are highly subjective, they are rarely indexed. However there are situations …

Hundreds of thousands of photographs are uploaded to the internet every minute through
various social networking and photo sharing platforms. While some images get millions of …

Object recognition systems constitute a deeply entrenched and omnipresent component of
modern intelligent systems. Research on object recognition algorithms has led to advances …

Color names are required in real-world applications such as image retrieval and image
annotation. Traditionally, they are learned from a collection of labeled color chips. These …