The rapid growth of archives of available visual content, such as photo or video sharing
websites, has created a need for indexing techniques and multimedia information search …

Every day, websites and personal archives generate an increasing number of photographs.
The extent of these archives is unfathomable. The ease of usage of these enormous digital …

Due to their vast size, the growing number of digital images found in personal archives and
on websites has become unmanageable, making it challenging to retrieve images from …

An efficient learning scheme is proposed for hypergraph ranking based on multiple
optimizations. This scheme dynamically optimizes the hypergraph structure through the …

Automatic image annotation is one of the research fields helping to extract the meaning of
images, which aims at the production of a set of semantic annotations for an image to help …

Digital image collections are becoming increasingly popular due to their ease of use. Still,
the need for adequate indexing information makes it difficult for users to find the specific …

Automatic annotation of images with descriptive words is a challenging problem with vast
applications in the areas of image search and retrieval. This problem can be viewed as a …

In this work, we propose an efficient image annotation approach based on visual content of
regions. We assume that regions can be described using low-level features as well as high …

Deep kernel map networks have shown excellent performances in various classification
problems including image annotation. Their general recipe consists in aggregating several …

In the era of digital information proliferation, the potential disruptive impact on citizens,
democracy, and society as a whole has raised concerns. To mitigate these risks, it becomes …