In recent years a vast amount of visual content has been generated and shared from many
fields, such as social media platforms, medical imaging, and robotics. This abundance of …

In recent years a vast amount of visual content has been generated and shared from various
fields, such as social media platforms, medical images, and robotics. This abundance of …

Multi-feature fusion has achieved gratifying performance in image retrieval. However, some
existing fusion mechanisms would unfortunately make the result worse than expected due to …

Haze blurs image information and reduces the visibility of objects in the image, which
seriously affects the performance of computer vision applications in a hazy environment. We …

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

People's various visual preferences lead to subjectivity in their aesthetic perception of
images. Hence, learning image aesthetic subjectivity has attracted great interest in the …

Precise detection and effective intervention of pathogenic microorganisms are pivotal to
ensure crop yield. Traditional open set recognition methods distinguish unknown classes, ie …

Affective video content analysis is an active topic in the field of affective computing. In
general, affective video content can be depicted by feature vectors of multiple modalities, so …

Purpose This study aims to introduce a novel rank aggregation algorithm that leverages
graph theory and deep-learning to improve the accuracy and relevance of aggregated …

Due to the explosive growth of digital images, new efficient and effective methodologies and
tools are needed in the image retrieval field. Compared to the content-based image retrieval …