Arun Zachariah

Arun Zachariah

Sr. Research Scientist

A System for Large-Scale Image and Video Retrieval on Everyday Scenes

Published in University of Missouri-Columbia, 2022

Recommended citation: Arun George Zachariah - "A System for Large-Scale Image and Video Retrieval on Everyday Scenes." Doctoral dissertation, University of Missouri-Columbia, 2022. /publication/Arun_George_Zachariah_Dissertation.pdf

There has been a growing amount of multimedia data generated on the web today in terms of size and diversity. This has made accurate retrieval from these large and complex collections of data a challenging problem. Motivated by the need for systems that can enable scalable and efficient search, this dissertation proposes QIK (Querying Images Using Contextual Knowledge), a system that leverages deep learning and natural language processing for large-scale image and video retrieval of everyday scenes with common objects.

Download the full dissertation PDF

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  103. Mohamed Gharibi, Arun Zachariah, and Praveen Rao. FoodKG: A Tool to Enrich Knowledge Graphs Using Machine Learning Techniques. Frontiers in Big Data, 3, 2020.
  104. Suveen Angraal, Arun George Zachariah, Raaisa Raaisa, Rohan Khera, Praveen Rao, Harlan M. Krumholz, and John A. Spertus. Evaluation of Internet-Based Crowdsourced Fundraising to Cover Health Care Costs in the United States. JAMA Network Open, 4(1):e2033157–e2033157, 2021.
  105. Arun Zachariah and Maha Alrasheed. Private-Share: A Secure and Privacy-Preserving De-Centralized Framework for Large Scale Data Sharing. In Proceedings of the 3rd ACM International Conference on Multimedia in Asia, 2021.
  106. Arun Zachariah and Praveen Rao. Large-Scale Image and Video Retrieval on Everyday Scenes With Common Objects. ACM Transactions on Intelligent Systems and Technology, 2022. Under Review.
  107. Arun Zachariah, Mohamed Gharibi, and Praveen Rao. A Large-Scale Image Retrieval System for Everyday Scenes. In Proceedings of the 2nd ACM International Conference on Multimedia in Asia, 2021.
  108. Arun Zachariah, Mohamed Gharibi, and Praveen Rao. QIK: A System for Large-Scale Image Retrieval on Everyday Scenes With Common Objects. In Proceedings of the 2020 International Conference on Multimedia Retrieval, page 126–135, 2020.
  109. Arun Zachariah, Praveen Rao, Brian Corn, and Dominique Davison. Zero Shot Learning for Predicting Energy Usage of Buildings in Sustainable Design. arXiv preprint arXiv:2202.05206, 2022.
  110. Praveen Rao, Arun Zachariah, Deepthi Rao, Peter Tonellato, Wesley Warren, and Eduardo Simoes. Accelerating Variant Calling on Human Genomes Using a Commodity Cluster. In Proceedings of the 30th ACM International Conference on Information & Knowledge Management (CIKM), page 3388–3392, 2021.
  111. Praveen Rao and Arun Zachariah. Enabling Large-Scale Human Genome Sequence Analysis on CloudLab. In IEEE INFOCOM 2022 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), pages 1–2, 2022.
  112. Daniel E. Lopez Barron, Praveen Rao, Deepthi Rao, Ossama Tawfik, and Arun Zachariah. Large-Scale Storage of Whole Slide Images and Fast Retrieval of Tiles using DRAM. In Big Data II: Learning, Analytics, and Applications, pages 45 – 50, 2020.
  113. Nouf Alrasheed, Arun Zachariah, Shivika Prasanna, Deepthi Rao, and Praveen Rao. Deepfakes for Histopathology Images: Myth or Reality? In Proceedings of the IEEE Applied Imagery Pattern Recognition Workshop (AIPR), pages 1 – 7, 2020.