Novel browser extension tool for image annotation : (Applications and use-cases in a novel CCTV-aware system)
Authors
Date
2022Access restrictions
The author has not given permission to make the work publicly available electronically. Therefore the material can be read only at the archival workstation at Jyväskylä University Library (https://kirjasto.jyu.fi/collections/archival-workstation).
Copyright
This publication is copyrighted. You may download, display and print it for Your own personal use. Commercial use is prohibited.
Camera surveillance has become a worldwide phenomenon that affects the lives of almost every person. People are not aware of how much they are entering the surveillance zone and for some people the patronizing surveillance may raise concerns about individual freedom and privacy. This paper introduces a browser extension that allows users to annotate cameras to build a security / privacy type of navigation that avoids or follows cameras. Image annotation started with describing images with words that have evolved to annotate images in more detail, and today large datasets can be used for ML/CV model training. The purpose of the browser extension was to annotate images in a way that training of ML/CV models to recognize CCTV cameras from Google Street View images is possible. The browser extension was tested with the crowdsourcing effort where eight different people used the extension in different browsers and different operating systems, after which the people evaluated the extensions functionality and ease of use. The evaluation showed that the extension works as indented and it is an effective tool for annotating images. In addition, the extension succeeded in training ML/CV models to recognize CCTV cameras from Street View-level images.
...


Keywords
Metadata
Show full item recordCollections
- Pro gradu -tutkielmat [23923]
Related items
Showing items with similar title or keywords.
-
CCTV-aware routing and navigation system for privacy, anonymity and safety
Sintonen, Lauri (2022)Tämä pro gradu -tutkielma on kolmeen samasta aiheesta ja saman projektin alla kirjoitettuun artikkeliin pohjautuva artikkelimuotoinen tutkielma, niin sanottu artikkeligradu. Projekti toteutettiin Andrei Costinin ... -
Adversarial Attack’s Impact on Machine Learning Model in Cyber-Physical Systems
Vähäkainu, Petri; Lehto, Martti; Kariluoto, Antti (Peregrine Technical Solutions, 2020)Deficiency of correctly implemented and robust defence leaves Internet of Things devices vulnerable to cyber threats, such as adversarial attacks. A perpetrator can utilize adversarial examples when attacking Machine ... -
Strategic cyber threat intelligence : Building the situational picture with emerging technologies
Voutilainen, Janne; Kari, Martti (Academic Conferences International, 2020)In 2019, e-criminals adopted new tactics to demand enormous ransoms from large organizations by using ransomware, a phenomenon known as “big game hunting.” Big game hunting is an excellent example of a sophisticated and ... -
Sähköä ja alkemiaa : tekoälydiskurssit Yleisradion verkkoartikkeleissa
Slotte Dufva, Tomi; Mertala, Pekka (Media- ja viestintätieteellinen seura MEVI ry, 2021)Tässä artikkelissa tarkastelemme sitä, millaisena ja miten tekoäly esitetään suomalaisessa julkisessa keskustelussa, ja ketkä tekoälystä suurelle yleisölle kertovat. Aineistona olemme käyttäneet Yleisradion verkkosivujen ... -
Towards a Great Design of Conceptual Modelling
Kiyoki, Yasushi; Thalheim, Bernhard; Duží, Marie; Jaakkola, Hannu; Chawakitchareon, Petchporn; Heimbürger, Anneli (IOS Press, 2020)Humankind faces a most crucial mission; we must endeavour, on a global scale, to restore and improve our natural and social environments. This is a big challenge for global information systems development and for their ...