In recent years, image annotation has attracted extensive attention due to the explosive
growth of image data. With the capability of describing images at the semantic level, image …

Social image tag refinement, which aims to improve tag quality by automatically completing
the missing tags and rectifying the noise-corrupted ones, is an essential component for …

Visual matching is a crucial step in image retrieval based on the bag-of-words (BoW) model.
In the baseline method, two keypoints are considered as a matching pair if their SIFT …

Image retagging aims to improve the tag quality of social images by completing the missing
tags, rectifying the noise-corrupted tags, and assigning new high-quality tags. Recent …

The inverse document frequency (IDF) is prevalently utilized in the bag-of-words-based
image retrieval application. The basic idea is to assign less weight to terms with high …

Smart technology brings convenience to our lives, and smart medical diagnosis plays a
particularly important role in smart cities and the smart world. In smart diagnosis, high-quality …

Web image annotation has became a hot research topic owing to massive image data and
abundant semantic context. In this paper, we propose a Tri-relational Graph (TG) model for …

Online images' tags are very important for indexing, sharing, and searching of images, as
well as surfacing images with private or sensitive content, which needs to be protected …

User provided tags, albeit play an essential role in image annotation, may inhibit accurate
annotation as well since they are potentially incomplete. To address this problem, a novel …

I present the outline of my dissertation work, Identifying Private Content for Online Image
Sharing. Particularly, in my dissertation, I explore learning models to predict appropriate …