An Approach for Preparing Groundtruth Data and Evaluating Visual Saliency Models

Authors:
Rajarshi Pal;Jayanta Mukherjee;Pabitra Mitra
Affiliations:
Department of Computer Science and Engineering, Indian Institute of Technology, Kharagpur, India;Department of Computer Science and Engineering, Indian Institute of Technology, Kharagpur, India;Department of Computer Science and Engineering, Indian Institute of Technology, Kharagpur, India
Venue:
PReMI '09 Proceedings of the 3rd International Conference on Pattern Recognition and Machine Intelligence
Year:
2009

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Abstract

Evaluation is a key part while proposing a new model. To evaluate models of visual saliency, one needs to compare the model's output with salient locations in an image. This paper proposes an approach to find out the salient locations, i.e., groundtruth for experiments with visual saliency models. It is found that the proposed human hand-eye coordination based technique can be an alternative to costly human pupil-tracking based systems. Moreover, an evaluation metric is also proposed that suits the necessity of the saliency models.