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 media is emerging as a new mainstream means of interacting around online media.
Social influence mining in social networks is therefore of critical importance in real-world …

Multilabel image annotation attracts a lot of research interest due to its practicability in
multimedia and computer vision fields, while the need for a large amount of labeled training …

Real images often have multiple labels, ie, each image is associated with multiple objects or
attributes. Compared to single-label image classification, the multilabel classification …

Automatic image annotation is concerned with the task of assigning one or more semantic
concepts to a given image. It is a typical multi-label classification problem. This paper …

Automatic image annotation methods are extremely beneficial for image search, retrieval,
and organization systems. The lack of strict correlation between semantic concepts and …

In this paper, we propose a novel label propagation algorithm named Proxy-based Local
Consistency Propagation (PLCP), in which the label information is first propagated from …

Due to the popularity of devices with touch screens, it is convenient to match images with a
hand-drawn sketch query. However, existing methods usually care little about memory …

Location information, ie, the position of content in image plane, is considered as an
important supplement in saliency detection. The effect of location information is usually …

The bag of visual words (BOW) model has been widely applied in the field of image
recognition and image classification. However, all scale‐invariant feature transform (SIFT) …