CVIVAug 7, 2020

A Study on Visual Perception of Light Field Content

arXiv:2008.03195v1
Originality Synthesis-oriented
AI Analysis

This work addresses the challenge of defining visual perception for light fields, an emerging immersive media, but it is incremental as it builds on existing saliency research without introducing new methods.

The study tackled the problem of understanding visual attention in light field content, which is not well-researched compared to 2D media, by conducting perception experiments to collect and analyze user behavior data, resulting in a provided dataset of light field and attention data.

The effective design of visual computing systems depends heavily on the anticipation of visual attention, or saliency. While visual attention is well investigated for conventional 2D images and video, it is nevertheless a very active research area for emerging immersive media. In particular, visual attention of light fields (light rays of a scene captured by a grid of cameras or micro lenses) has only recently become a focus of research. As they may be rendered and consumed in various ways, a primary challenge that arises is the definition of what visual perception of light field content should be. In this work, we present a visual attention study on light field content. We conducted perception experiments displaying them to users in various ways and collected corresponding visual attention data. Our analysis highlights characteristics of user behaviour in light field imaging applications. The light field data set and attention data are provided with this paper.

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