Visualization and Visual Analytics Approaches for Image and Video Datasets

Overview

The KVL is happy to announce the project's conclusion, resulting in a paper about image and video datasets analysis using visual analytics and Artificial intelligence techniques.

Work Summary

Image and video data analysis has become an increasingly important research area with applications in different domains such as security surveillance, healthcare, augmented and virtual reality, video and image editing, activity analysis and recognition, synthetic content generation, distance education, telepresence, remote sensing, sports analytics, art, non-photorealistic rendering, search engines, and social media. Recent advances in Artificial Intelligence (AI) and particularly deep learning have sparked new research challenges and led to significant advancements, especially in image and video analysis. These advancements have also resulted in significant research and development in other areas such as visualization and visual analytics, and have created new opportunities for future lines of research. In this survey article, we present the current state of the art at the intersection of visualization and visual analytics, and image and video data analysis. We categorize the visualization articles included in our survey based on different taxonomies used in visualization and visual analytics research. We review these articles in terms of task requirements, tools, datasets, and application areas. We also discuss insights based on our survey results, trends and patterns, the current focus of visualization research, and opportunities for future research.

the paper is available for download from: https://dl.acm.org/doi/full/10.1145/3576935 or 3576935.pdf

Impact

This vision paper shows state-of-the-art visualization and visual analytics research techniques related to image and video datasets. It also identifies many problems, opportunities, and gaps in research for the researchers working in the domain.