Where previous reviews on content-based image retrieval emphasize what can be seen in
an image to bridge the semantic gap, this survey considers what people tag about an image …

In this work, we investigate the problem of learning knowledge from the massive community-
contributed images with rich weakly-supervised context information, which can benefit …

To uncover an appropriate latent subspace for data representation, in this paper we propose
a novel Robust Structured Subspace Learning (RSSL) algorithm by integrating image …

Due to the popularity of social media websites, extensive research efforts have been
dedicated to tag-based social image search. Both visual information and tags have been …

The number of images associated with weakly supervised user-provided tags has increased
dramatically in recent years. User-provided tags are incomplete, subjective and noisy. In this …

The expansion of the Internet over the last decade and the proliferation of online social
communities, such as Facebook, Google+, and Twitter, as well as multimedia sharing sites …

Multi-label image classification aims to predict the labels associated with a given image.
While most existing methods utilize unified image representations, extracting label-specific …

Though widely utilized for facilitating image management, user-provided image tags are
usually incomplete and insufficient to describe the whole semantic content of corresponding …

Tag-based social image search has attracted great interest and how to order the search
results based on relevance level is a research problem. Visual content of images and tags …

We have witnessed the popularity of image-sharing websites for sharing personal
experiences through photos on the Web. These websites allow users describing the content …