Feature extraction and representation is a crucial step for multimedia processing. How to
extract ideal features that can reflect the intrinsic content of the images as complete as …

Nowadays, more and more images are available. However, to find a required image for an
ordinary user is a challenging task. Large amount of researches on image retrieval have …

In order to improve the retrieval accuracy of content-based image retrieval systems, research
focus has been shifted from designing sophisticated low-level feature extraction algorithms …

This paper presents a method to extract color and texture features of an image quickly for
content-based image retrieval (CBIR). First, HSV color space is quantified rationally. Color …

Geographic Object-Based Image Analysis (GEOBIA) represents the most innovative new
trend for processing remote sensing images that has appeared during the last decade …

Semantic-based image retrieval has attracted great interest in recent years. This paper
proposes a region-based image retrieval system with high-level semantic learning. The key …

In this paper, a novel algorithm is presented for the real-time, compressed-domain,
unsupervised segmentation of image sequences and is applied to video indexing and …

Frameworks and libraries change their APIs. Migrating an application to the new API is
tedious and disrupts the development process. Although some tools and ideas have been …

The multimodal task of Visual Question Answering (VQA) encompassing elements of
Computer Vision (CV) and Natural Language Processing (NLP), aims to generate answers …

During the past two decades, 3D simulation models have gained importance in the
development of software solutions that aim to mimic real-world events and phenomena with …