Abstract:
This paper investigates the precision of Google™'s Search by Image (SBI)
system which lecturers can use to establish a workflow that will combat visual
plagiarism in photography programmes. Currently no efficacious visual
plagiarism detection method exists for implementation by photography
lecturers. Content-based image retrieval systems like Google™ SBI have not
yet been tested systemically for the detection of visual plagiarism. Using the
Precision method to calculate the accuracy of the system, 300 images were
randomly sampled through Google™ Images and altered with different
adjustments. The images were uploaded to Google™ SBI and the results
indicated a system of high quality.
