Video Analytics
in Defence and Security Applications

Video Analytics

Video Analytics and Surveillance softwares for video search,
real-time intrusion detection, perimeter monitoring, loitering detection, object tracking, etc.

Surakshavyuh

Video Surveillance Analytics

This work on CCTV Video Analytics includes real-time intrusion detection, perimeter monitoring, loitering detection, object tracking, etc.

Download User Manual Installation Guide

Credentials to use the software can be provided upon acknowledgement/request.

Jigyasa

Video Search Analytics

Jigyasa is a Video Repository and Search platform with features like text search, face search, etc.

Repository Manager Video Search

Credentials to use the software can be provided upon acknowledgement/request.

Videosummy

and

Visiocity Summarization Benchmark

Video Summarization Software

Videosummy can condense hours’ worth of video into a couple of minutes, by preserving key events and vignettes from your original video and removing repetitive visual information. Read in details, our VISIOCITY dataset and benchmark algorithms and evaluations for video summarization across different domains such as surveillance, TV shows, sports, education, events (birthdays and weddings), and different facets of summarization therein.

Document Analytics

Optical Character Recognition (OCR) and Scene text Recognition for Indian languages and Indian context

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IndicOCR

Optical Character Recognition for Indian Texts

End-to-end framework for Error Detection and Corrections in Indic-OCR. The system inputs a PDF file of a book, and obtains the OCR output using IndSenz OCR and Google OCR, and then corrects the OCRed text, and provides suggestions for words that probably have mistakes during the OCR method, hence any mistakes during the OCR process can be corrected by the user.

Demo View on Github Installation Guide Detailed Process Flow More Information

Credentials to use the software can be provided upon acknowledgement/request.

Publications

Publications related to the projects.

Select, Substitute, Search: A New Benchmark for Knowledge-Augmented Visual Question Answering [data and source code]

Aman Jain, Mayank Kothyari, Vishwajeet Kumar, Preethi Jyothi, Ganesh Ramakrishnan, Soumen Chakrabarti

Accepted paper at The 44th International ACM Conference on Research and Development in Information Retrieval (SIGIR), Resource Track, 2021.

Exploration of Spatial and Temporal Modeling Alternatives for HOI [presentation, source code]

Rishabh Dabral, Srijon Sarkar, Sai Praneeth Reddy, Ganesh Ramakrishnan

In Proceedings of The 9th IEEE Winter Conference on Applications of Computer Vision (WACV 2021).

LIGHTEN: Learning Interactions with Graph and Heirarchical TEmporal Networks for HOI in videos [source code]

Sai Praneeth Sunkesula, Rishabh Dabral, Ganesh Ramakrishnan

In Proceedings of The 28th ACM International Conference on Multimedia (ACMM 2020), Seattle, USA.

Caption Alignment for Low Resource Audio-Visual Data

Vighnesh Reddy Konda, Mayur Warialani, Rakesh Prasanth Achari, Varad Bhatnagar, Japrakash Akula, Preethi Jyothi, Ganesh Ramakrishnan, Gholamreza Haffari and Pankaj Singh

Accepted paper at the 21st INTERSPEECH Conference (Interspeech 2020), Shanghai, China

A Framework towards Domain Specific Video Summarization

Vishal Kaushal, Sandeep Subramanian, Suraj Kothawade, Rishabh Iyer, Ganesh Ramakrishnan

Accepted paper at the 7th IEEE Winter Conference on Applications of Computer Vision (WACV), 2019, Hawaii, USA.

A Framework towards Domain Specific Video Summarization

Vishal Kaushal, Sandeep Subramanian, Suraj Kothawade, Rishabh Iyer, Ganesh Ramakrishnan

Accepted paper at the 7th IEEE Winter Conference on Applications of Computer Vision (WACV), 2019, Hawaii, USA.

Learning From Less Data: Diversified Subset Selection and Active Learning in Image Classification Tasks

Vishal Kaushal, Rishabh Iyer, Anurag Sahoo, Khoshrav Doctor, Narasimha Raju, Ganesh Ramakrishnan

Accepted paper at the 7th IEEE Winter Conference on Applications of Computer Vision (WACV), 2019, Hawaii, USA.

Demystifying Multi-Faceted Video Summarization: Tradeoff Between Diversity,Representation, Coverage and Importance

Vishal Kaushal, Rishabh Iyer, Anurag Sahoo, Pratik Dubal, Suraj Kothawade, Rohan Mahadev, Kunal Dargan, Ganesh Ramakrishnan

Accepted paper at the 7th IEEE Winter Conference on Applications of Computer Vision (WACV), 2019, Hawaii, USA.

Anomaly Detection in Surveillance Videos

Sukalyan Bhakat, Ganesh Ramakrishnan

Best demo paper award. In Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, CoDS-COMAD '19, Kolkota, India.

An Interactive Multi-Label Consensus Labeling Model for Multiple Labeler Judgments

Ashish Kulkarni, Narasimha Raju Uppalapati, Pankaj Singh, Ganesh Ramakrishnan

In Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI-18), New Orleans, Louisiana, USA.

Synthesis of Programs from Multimodal Datasets

Shantanu Thakoor, Simoni Shah, Ganesh Ramakrishnan, Amitabha Sanyal

In Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI-18), New Orleans, Louisiana, USA.

Error Detection and Corrections in Indic OCR using LSTMs

Rohit Saluja, Devaraj Adiga, Parag Chaudhuri, Ganesh Ramakrishnan and Mark Carman

International Conference on Document Analysis and Recognition (ICDAR) 2017, Kyoto, Japan.

A Framework for Document Specific Error Detection and Corrections in Indic OCR

Rohit Saluja, Devaraj Adiga, Ganesh Ramakrishnan, Parag Chaudhuri and Mark Carman

1st International Workshop on Open Services and Tools for Document Analysis (ICDAR- OST) 2017, Kyoto, Japan.

Improving the learnability of classifiers for Sanskrit OCR corrections

Devaraja Adiga, Rohit Saluja, Vaibhav Agrawal, Ganesh Ramakrishnan, Parag Chaudhuri, K. Ramasubramanian and Malhar Kulkarni

Proceedings of the 17th World Sanskrit Conference, Vancouver, 2018.

A Framework for Error Detection and Corrections in Sanskrit

Rohit Saluja, Devaraj Adiga, Parag Chaudhuri, Ganesh Ramakrishnan and Mark Carman

Research and Innovation Symposium in Computing (RISC) 2017 (Most Admiring Poster Presentation Award), IIT-Bombay, India.

Summarizing Multi-Document Topic Hierarchies using Submodular Mixtures

Ramakrishna Bairi, Rishabh Iyer, Ganesh Ramakrishnan and Jeff Bilmes

In Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL), Beijing, China, July - 2015

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