AdaPIP:自适应画中画引导,360°观影

IF 17.3 3区 计算机科学 Q1 COMPUTER SCIENCE, SOFTWARE ENGINEERING Computational Visual Media Pub Date : 2024-05-02 DOI:10.1007/s41095-023-0347-3
Yi-Xiao Li, Guan Luo, Yi-Ke Xu, Yu He, Fang-Lue Zhang, Song-Hai Zhang
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引用次数: 0

摘要

360° 视频能让观众从不同方向自由观看,但不可避免地会妨碍他们感知所有有用信息。为了缓解这一问题,有人提出了画中画(PIP)引导,利用预览窗口显示当前视图范围之外的感兴趣区域(ROI)。我们发现了这种表示法的几个缺点,并提出了一种用于 360° 电影观看的新方法,称为 AdaPIP。AdaPIP 通过自适应地安排预览窗口来改变视图范围和大小,从而增强了传统的 PIP。此外,AdaPIP 还结合了箭头引导的优势,通过呈现带有箭头的圆形窗口,帮助用户更高效地定位相应的 ROI。我们还将 AdaPIP 和 Outside-In 应用于基于 HMD 的沉浸式虚拟现实环境,以展示 PIP 引导方法在二维屏幕之外的可用性。在二维屏幕和虚拟现实环境中进行的综合用户实验表明,AdaPIP 在视觉体验方面优于其他方法,同时还能保持相当程度的沉浸感。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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AdaPIP: Adaptive picture-in-picture guidance for 360° film watching

360° videos enable viewers to watch freely from different directions but inevitably prevent them from perceiving all the helpful information. To mitigate this problem, picture-in-picture (PIP) guidance was proposed using preview windows to show regions of interest (ROIs) outside the current view range. We identify several drawbacks of this representation and propose a new method for 360° film watching called AdaPIP. AdaPIP enhances traditional PIP by adaptively arranging preview windows with changeable view ranges and sizes. In addition, AdaPIP incorporates the advantage of arrow-based guidance by presenting circular windows with arrows attached to them to help users locate the corresponding ROIs more efficiently. We also adapted AdaPIP and Outside-In to HMD-based immersive virtual reality environments to demonstrate the usability of PIP-guided approaches beyond 2D screens. Comprehensive user experiments on 2D screens, as well as in VR environments, indicate that AdaPIP is superior to alternative methods in terms of visual experiences while maintaining a comparable degree of immersion.

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来源期刊
Computational Visual Media
Computational Visual Media Computer Science-Computer Graphics and Computer-Aided Design
CiteScore
16.90
自引率
5.80%
发文量
243
审稿时长
6 weeks
期刊介绍: Computational Visual Media is a peer-reviewed open access journal. It publishes original high-quality research papers and significant review articles on novel ideas, methods, and systems relevant to visual media. Computational Visual Media publishes articles that focus on, but are not limited to, the following areas: • Editing and composition of visual media • Geometric computing for images and video • Geometry modeling and processing • Machine learning for visual media • Physically based animation • Realistic rendering • Recognition and understanding of visual media • Visual computing for robotics • Visualization and visual analytics Other interdisciplinary research into visual media that combines aspects of computer graphics, computer vision, image and video processing, geometric computing, and machine learning is also within the journal''s scope. This is an open access journal, published quarterly by Tsinghua University Press and Springer. The open access fees (article-processing charges) are fully sponsored by Tsinghua University, China. Authors can publish in the journal without any additional charges.
期刊最新文献
TrafPS: A shapley-based visual analytics approach to interpret traffic CLIP-Flow: Decoding images encoded in CLIP space CLIP-SP: Vision-language model with adaptive prompting for scene parsing SGformer: Boosting transformers for indoor lighting estimation from a single image Central similarity consistency hashing for asymmetric image retrieval
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