MultiMedia Modeling (MMM) Conference - Feb 2018

Hey there! I just wanted to keep a copy of this file somewhere on the internet... i chose to use the dlive platform haha.

Here's a video of me giving a 2 minute presentation about my research work - titled: Vehicle Semantics Extraction and Retrieval for Long-term Carpark Video Surveillance.

Basically, i was given an opportunity to present my paper in the form of Poster presentation, and in order to pique people's interest, the organizers allocated 2 minutes for each poster & demo presenter to present their paper during the first day of the conference.

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Abstract:
Car park video surveillance data provides plenty of semantic rich data such as vehicle color, trajectory, speed, and type which can be tapped into and extracted for video and data analytics. We present methods for extracting and retrieving color and motion semantics from long term carpark video surveillance. This is a challenging task in outdoor scenarios due to ever-changing illumination and weather conditions, while retrieval time also increases as data size grows. To address these challenges, we subdivided the search space into smaller chunks by introducing spatio-temporal cubes or atoms, which can store and retrieve these semantics at ease. The proposed method was tested on 2 days of continuous data from an outdoor carpark under various lighting and weather conditions. We report the precision, recall and F1 scores to determine the overall performance of the system.

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If you would like to read the paper, you can find the paper here:
https://link.springer.com/chapter/10.1007/978-3-319-73600-6_27

And if you're using any ideas or methods from my paper, kindly cite me :)

BibTeX
@inproceedings{cheong2018vehicle,
title={Vehicle Semantics Extraction and Retrieval for Long-Term Carpark Video Surveillance},
author={Cheong, Clarence Weihan and Lim, Ryan Woei-Sheng and See, John and Wong, Lai-Kuan and Tan, Ian KT and Aris, Azrin},
booktitle={International Conference on Multimedia Modeling},
pages={315--326},
year={2018},
organization={Springer}
}

My video is at DLive