Content-based video retrieval and indexing have been associated with intelligent methods
in many applications such as education, medicine and agriculture. However, an extensive …

Despite the advances in machine learning techniques, similarity assessment among
multimedia data remains a challenging task of broad interest in computer science …

Due to a huge volume of information in many domains, the need for classification methods is
imperious. In spite of many advances, most of the approaches require a large amount of …

Impressive advances in acquisition and sharing technologies have made the growth of
multimedia collections and their applications almost unlimited. However, the opposite is true …

Several visual features have been developed for content-based image retrieval in the last
decades, including global, local and deep learning-based approaches. However, despite …

Nowadays, there is a great variety of visual features available for image retrieval tasks.
While fusion strategies have been established as a promising alternative, an inherent …

The relevance of diversified data preprocessing approaches for improving clustering tasks is
remarkable. Once the effectiveness is direct impacted by feature representation and …

Person Re-ID has been gaining a lot of attention and nowadays is of fundamental
importance in many camera surveillance applications. The task consists of identifying …

In this paper, a salient object segmentation framework by using diffusion-based affinity
learning and based on absorbing Markov chain (AMC) is proposed. Traditional approaches …

The representation of multimedia content experienced tremendous advances in the last
decades. Mainly supported by deep learning models, impressive results have been …