Time-domain augmented reality based on locally adaptive video sampling

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

We propose a new approach for augmented reality, in which real-world scene images are augmented with video fragments manipulated in the time domain. The proposed system aims to display slow-motion video sequences of moving objects instantly without accumulated time lag so that a user can recognize and observe high-speed motion on the spot. Images from a high-speed camera are analyzed to detect regions with important visual features, which are overlaid on a normal-speed video sequence.

Original languageEnglish
Title of host publication9th IEEE International Symposium on Mixed and Augmented Reality 2010
Subtitle of host publicationScience and Technology, ISMAR 2010 - Proceedings
Pages261-262
Number of pages2
DOIs
Publication statusPublished - 2010 Dec 1
Event9th IEEE International Symposium on Mixed and Augmented Reality 2010: Science and Technology, ISMAR 2010 - Seoul, Korea, Republic of
Duration: 2010 Oct 132010 Oct 16

Publication series

Name9th IEEE International Symposium on Mixed and Augmented Reality 2010: Science and Technology, ISMAR 2010 - Proceedings

Other

Other9th IEEE International Symposium on Mixed and Augmented Reality 2010: Science and Technology, ISMAR 2010
CountryKorea, Republic of
CitySeoul
Period10/10/1310/10/16

Keywords

  • H.5.1 [information systems]: information interfaces and presentation - multimedia information systems - artificial, augmented, and virtual realities
  • I.4.9 [computing methodologies]: image processing and computer vision - applications

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computational Theory and Mathematics

Fingerprint Dive into the research topics of 'Time-domain augmented reality based on locally adaptive video sampling'. Together they form a unique fingerprint.

  • Cite this

    Orikasa, T., Kagami, S., & Hashimoto, K. (2010). Time-domain augmented reality based on locally adaptive video sampling. In 9th IEEE International Symposium on Mixed and Augmented Reality 2010: Science and Technology, ISMAR 2010 - Proceedings (pp. 261-262). [5643597] (9th IEEE International Symposium on Mixed and Augmented Reality 2010: Science and Technology, ISMAR 2010 - Proceedings). https://doi.org/10.1109/ISMAR.2010.5643597