Evaluating the perception of different matching strategies for time-coherent animations

Javier Villegas; Ronak Etemadpour; Angus Graeme Forbes

doi:10.1117/12.2081038

17 March 2015 Evaluating the perception of different matching strategies for time-coherent animations

Javier Villegas, Ronak Etemadpour, Angus Graeme Forbes

Proceedings Volume 9394, Human Vision and Electronic Imaging XX; 939412 (2015) https://doi.org/10.1117/12.2081038
Event: SPIE/IS&T Electronic Imaging, 2015, San Francisco, California, United States

Abstract

This paper introduces new terminology to describe the perceptual qualities of the non-photorealistic animation sequences created using an analysis/synthesis approach to rendering. Specifically, we propose the use of different matching optimization criteria as part of the creative control for generating animated sequences, or stylized video, and we explore the perceptual differences that are obtained when different optimization criteria are used. Additionally, metrics are introduced that describe the strengths and weakness of each of these matching strategies. Moreover, we show that these metrics may be useful for future evaluations of stylized video. We examine a series of sequences generated using different matching algorithms based on these metrics, and a user evaluation of 30 participants demonstrates that our objective metrics are perceptually relevant.

Citation Download Citation

Javier Villegas, Ronak Etemadpour, and Angus Graeme Forbes "Evaluating the perception of different matching strategies for time-coherent animations", Proc. SPIE 9394, Human Vision and Electronic Imaging XX, 939412 (17 March 2015); https://doi.org/10.1117/12.2081038

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