Image retrieval is still an active research topic in the computer vision field. There are existing
several techniques to retrieve visual data from large databases. Bag-of-Visual Word (BoVW) …

Recommendation systems are one of the main applications of machine learning (ML) used
across different industries. This paper presents a new automated machine learning …

The plethora of e-commerce products within the last few years has become a serious
challenge for shoppers when searching for relevant product information. This has …

This book describes the methods and algorithms for image pre-processing and recognition.
These methods are based on a parallel shift technology of the imaging copy, as well as …

The growing volume of medical imaging data presents significant challenges in terms of
storage, management, and utilization. Content-based medical image retrieval (CBMIR) …

The clustering application can be used to develop a variety of tourism potential. Currently,
halal tourism is a national income that increases every year and is a favorite for Indonesia …

Sažetak A vast amount of images has been generated due to the diversity and digitalization
of devices for image acquisition. However, the gap between low-level visual features and …

Recently researches have shown that there is a rapid growth of multimedia resources. There
is an urgent need of intelligent methods to organize and process multimedia data to make …

Previous approaches to background subtraction typically considered the problem as a
classification of pixels over time. We frame the problem as clustering the difference vectors …

Introduction: Content-based image retrieval (CBIR) retrieves the images from the vast image
repositories. Research in the CBIR domain gets attention due to the massive number of …