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Remove What You Dont Want to Share

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dc.contributor.author Zia, Qasim
dc.date.accessioned 2023-08-19T11:38:21Z
dc.date.available 2023-08-19T11:38:21Z
dc.date.issued 2021
dc.identifier.other 204534
dc.identifier.uri http://10.250.8.41:8080/xmlui/handle/123456789/36953
dc.description Supervisor: Dr. Wajahat Hussain en_US
dc.description.abstract People share thousands of their images and videos on social media platforms like Facebook, Instagram, Twitter, WhatsApp etc. It is becoming a part of our daily life to share our precious moments with our friends and others. We encounter many funny videos and tutorials on YouTube as well. People often give interviews from home for jobs, news channels etc. These images and videos sometimes reveal users personal environment, which user is unaware of. For example, what if someone share there dinner photo with friends and user’s credit card was on the table. What if user is giving a job interview at home and user’s roommate accidentally shows up in-front of the camera. So, to protect user privacy there must be some sort of privacy protection utility that can protect user privacy and keep the content visually appealing as well. Traditional methods like blurring, cartooning and other filters makes the other person suspicious and less attractive content. Most of the methods require user effort to achieve privacy. So, a method is proposed in which minimum user effort is required. In this method we’ve used our technique to keep the content less suspicious and visually appealing as well. en_US
dc.language.iso en en_US
dc.publisher School of Electrical Engineering and Computer Science NUST SEECS en_US
dc.title Remove What You Dont Want to Share en_US
dc.type Thesis en_US


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