research-article

A scheme for storing object ID manifests in openEXR images

Author:

Peter HillmanAuthors Info & Claims

DigiPro '18: Proceedings of the 8th Annual Digital Production Symposium

Article No.: 9, Pages 1 - 8

https://doi.org/10.1145/3233085.3233086

Published: 11 August 2018 Publication History

Abstract

There are various approaches to storing numeric IDs as extra channels within CG rendered images. Using these channels, individual objects can be selected and separately modified. To associate an object with a text string a table or manifest is required mapping numeric IDs to text strings. This allows readable identification of ID-based selections, as well as the ability to make a selection using a text search. A scheme for storage of this ID Manifest is proposed which is independent of the approach used to store the IDs within the image. The total size of the raw strings within an ID Manifest may be very large but often contains much repeated information. A novel compression scheme is therefore employed which significantly reduces the size of the manifest.

References

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Cited By

Zhang XRöthlin GZhu SAydın TSalehi FGross MPapas M(2024)Neural Denoising for Deep‐Z Monte Carlo RenderingsComputer Graphics Forum10.1111/cgf.1505043:2Online publication date: 15-May-2024
https://doi.org/10.1111/cgf.15050
Ardo HAhrnbom MNilsson M(2022)Height Normalizing Image Transform for Efficient Scene Specific Pedestrian Detection2022 18th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)10.1109/AVSS56176.2022.9959692(1-11)Online publication date: 29-Nov-2022
https://doi.org/10.1109/AVSS56176.2022.9959692
Demolder ANewman ADurrant TNait-Charif HAdzhiev VKaczorowski A(2021)Enabling Reflective & Refractive Depth Representation in Computer-Generated HolographyACM SIGGRAPH 2021 Posters10.1145/3450618.3469177(1-2)Online publication date: 5-Aug-2021
https://dl.acm.org/doi/10.1145/3450618.3469177

Index Terms

A scheme for storing object ID manifests in openEXR images
1. Computing methodologies
  1. Computer graphics
    1. Image manipulation
      1. Antialiasing
      2. Image processing
    2. Rendering
      1. Visibility

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Published In

cover image ACM Conferences

DigiPro '18: Proceedings of the 8th Annual Digital Production Symposium

August 2018

60 pages

ISBN:9781450358958

DOI:10.1145/3233085

Conference Chairs:
Barbara Balents,
Corban Gossett
Nimble Collective
,
Program Chairs:
Cary Phillips
Industrial Light & Magic
,
Rachel Rose
Industrial Light & Magic

Copyright © 2018 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

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Published: 11 August 2018

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DigiPro '18: The Digital Production Symposium

August 11, 2018

British Columbia, Vancouver, Canada

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Cited By

Zhang XRöthlin GZhu SAydın TSalehi FGross MPapas M(2024)Neural Denoising for Deep‐Z Monte Carlo RenderingsComputer Graphics Forum10.1111/cgf.1505043:2Online publication date: 15-May-2024
https://doi.org/10.1111/cgf.15050
Ardo HAhrnbom MNilsson M(2022)Height Normalizing Image Transform for Efficient Scene Specific Pedestrian Detection2022 18th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)10.1109/AVSS56176.2022.9959692(1-11)Online publication date: 29-Nov-2022
https://doi.org/10.1109/AVSS56176.2022.9959692
Demolder ANewman ADurrant TNait-Charif HAdzhiev VKaczorowski A(2021)Enabling Reflective & Refractive Depth Representation in Computer-Generated HolographyACM SIGGRAPH 2021 Posters10.1145/3450618.3469177(1-2)Online publication date: 5-Aug-2021
https://dl.acm.org/doi/10.1145/3450618.3469177

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