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Image Cropping Based on Saliency and Semantics

Resource type
Thesis type
(Thesis) M.A.Sc.
Date created
Author: Lin, Jiang
This thesis proposes a new automatic image cropping technique and a platform for subjective image quality evaluation on mobile devices. Image cropping is a widely used technique in the printing industry, photography and cinematography. The proposed cropping method considers both the low-level pixel properties and high-level semantics. It is a combination of saliency-based and semantics-based image analysis. In the end, we compare the proposed method with a conventional saliency-based strategy. Furthermore, in order to simplify the final subjective test, we developed an iOS based mobile application for subjective image quality evaluation. The developed application implements two-alternative forced choice (2AFC) test methodology and further reduces the cognitive load of subjects performing the test by providing an easy-to-use, natural interface using the mobile device’s touch screen. The test results show the proposed cropping technique performs significantly better overall compared to saliency-based cropping.
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Copyright is held by the author.
This thesis may be printed or downloaded for non-commercial research and scholarly purposes.
Scholarly level
Supervisor or Senior Supervisor
Thesis advisor: Bajic, Ivan V.
Member of collection
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etd10531_JLin.pdf 2.63 MB

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