View-Dependent Video Textures for 360° Video

Liu, Sean J.; Agrawala, Maneesh; DiVerdi, Stephen; Hertzmann, Aaron

doi:10.1145/3332165.3347887

Cited by 16 publications

(1 citation statement)

References 27 publications

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“…This necessitates methods that consider similarities in viewing behavior. While existing techniques enable greater uniformity in viewing behavior (e.g., looping video textures under a gazed at region of interest [60]), or provide on-display guidance cues for where to look (e.g., Halo-and WedgeVR [36]), our goal was to allow as much viewing freedom as possible without manipulating video content. In this respect, our showed how RCEA-360VR takes advantage of regularities in head movement patterns (cf., [82]) to ensure effective fused annotations (RQ2).…”

Section: Viewport-dependency and Fusing Fine-grained Emotion Labelsmentioning

confidence: 99%

RCEA-360VR: Real-time, Continuous Emotion Annotation in 360° VR Videos for Collecting Precise Viewport-dependent Ground Truth Labels

Xue

Ali

Zhang

et al. 2021

Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

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Section: Viewport-dependency and Fusing Fine-grained Emotion Labelsmentioning

confidence: 99%

RCEA-360VR: Real-time, Continuous Emotion Annotation in 360° VR Videos for Collecting Precise Viewport-dependent Ground Truth Labels

Xue

Ali

Zhang

et al. 2021

Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

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Deep authoring - an AI Tool set for creating immersive MultiMedia experiences

Takács¹,

Vincze

2021

Multimed Tools Appl

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

Li,

Luo,

et al. 2024

Comp. Visual Media

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Abstract360° 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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View-Dependent Video Textures for 360° Video

Cited by 16 publications

References 27 publications

RCEA-360VR: Real-time, Continuous Emotion Annotation in 360° VR Videos for Collecting Precise Viewport-dependent Ground Truth Labels

RCEA-360VR: Real-time, Continuous Emotion Annotation in 360° VR Videos for Collecting Precise Viewport-dependent Ground Truth Labels

Deep authoring - an AI Tool set for creating immersive MultiMedia experiences

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

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