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+====== Visualization and Visual Analytics Approaches for Image and Video Datasets   ======
+<WRAP group>
+<WRAP third column>
+{{ :wiki:highlights:2023:s2.png?400|}} {{:wiki:highlights:2023:survey.png?400|}}
+<WRAP center round box 100%> {{:favicon.ico?nolink&0x30}} <fs:26px>** KVL Staff on Project**</fs>
+{{:icon:twbs:link:w-25:h-auto:person.svg?nolink&}} Sohaib Ghani \\
+{{:icon:twbs:link:w-25:h-auto:envelope-at.svg?nolink&}}  sohaib.ghani@kaust.edu.sa \\
+{{:icon:twbs:link:w-25:h-auto:building.svg?nolink&}} Visualization Core Laboratory \\
+</WRAP>
+/*
+<WRAP center round box 100%> {{:wiki:kaust-seeds.png?nolink&0x30}} <fs:26px>** KAUST PI on Project**</fs>
+{{:icon:twbs:link:w-25:h-auto:person.svg?nolink&}} Dr. Shehzad Afzal  \\
+{{:icon:twbs:link:w-25:h-auto:envelope-at.svg?nolink&}}  shehzad.afzal@kaust.edu.sa \\
+{{:icon:twbs:link:w-25:h-auto:building.svg?nolink&}} KAUST Climate Change Center \\
+</WRAP>
+*/
+</WRAP> /* end column */
+<WRAP twothirds column>
+===== 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 {{ :wiki:highlights:2023:3576935.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.
+/* Add videos or more images here */
+/* Example of showing a video stored on the wiki */
+/* {{ :wiki:internal:operations:formstack_screencast.mp4?1024x850 |Formstack Screencast}} */
+/* Example of showing a video from youtube */
+/* {{ youtube>mkeZS74PfhE?half |KAUST Visualization Core Laboratory Video}} */
+</WRAP> /* end column */
+</WRAP> /* end group */
+----
+{{tag>highlight kvl visual analytic and ML survey}}