AVSU: Workshop on audio-visual scene understanding for immersive multimedia
AVSU: Workshop on audio-visual scene understanding for immersive multimedia
This workshop aims to provide a forum to exchange ideas in scene understanding techniques researched in audio and visual communities, and to ultimately unlock the creative potential of joint audio-visual signal processing to deliver a step change in various multimedia applications. Papers and talks presented in this workshop will contribute to the emerging technology for audio and visual information that can improve traditional approaches for multimedia content production and reproduction. The goals of this workshop are to (1) present and discuss the latest trends in audio and computer vision fields for the common research goals, (2) understand state-of-the-art techniques and bottlenecks in the other's discipline for the common topics, (3) investigate research opportunities of joint audio-visual scene understandings in multimedia content production. This workshop will be a good opportunity to bring together leading experts in audio processing and computer vision, and will bridge the gap between two research fields in multimedia content production and reproduction. © 2018 Copyright is held by the owner/author(s).
Computer vision, Multimedia signal processing, Audio and visual information, Audio-visual, Immersive, Multimedia applications, Multimedia content production, Scene understanding, State-of-the-art techniques, Virtual/Augmented Reality, Audio signal processing
2122-2124
Association for Computing Machinery
Hilton, Adrian
12782a55-4c4d-4dfb-a690-62505f6665db
Kang, H.-G.
d3ab37ed-072a-4f11-b294-b5341b64037d
Kim, H.
2c7c135c-f00b-4409-acb2-85b3a9e8225f
Sohn, K.
15547878-23a1-4428-90b5-64842ce10dff
October 2018
Hilton, Adrian
12782a55-4c4d-4dfb-a690-62505f6665db
Kang, H.-G.
d3ab37ed-072a-4f11-b294-b5341b64037d
Kim, H.
2c7c135c-f00b-4409-acb2-85b3a9e8225f
Sohn, K.
15547878-23a1-4428-90b5-64842ce10dff
Hilton, Adrian, Kang, H.-G., Kim, H. and Sohn, K.
(2018)
AVSU: Workshop on audio-visual scene understanding for immersive multimedia.
In MM '18: Proceedings of the 26th ACM international conference on Multimedia.
Association for Computing Machinery.
.
(doi:10.1145/3240508.3243725).
Record type:
Conference or Workshop Item
(Paper)
Abstract
This workshop aims to provide a forum to exchange ideas in scene understanding techniques researched in audio and visual communities, and to ultimately unlock the creative potential of joint audio-visual signal processing to deliver a step change in various multimedia applications. Papers and talks presented in this workshop will contribute to the emerging technology for audio and visual information that can improve traditional approaches for multimedia content production and reproduction. The goals of this workshop are to (1) present and discuss the latest trends in audio and computer vision fields for the common research goals, (2) understand state-of-the-art techniques and bottlenecks in the other's discipline for the common topics, (3) investigate research opportunities of joint audio-visual scene understandings in multimedia content production. This workshop will be a good opportunity to bring together leading experts in audio processing and computer vision, and will bridge the gap between two research fields in multimedia content production and reproduction. © 2018 Copyright is held by the owner/author(s).
This record has no associated files available for download.
More information
Published date: October 2018
Additional Information:
cited By 0
Venue - Dates:
ACM Multimedia Conference, 2018-10-10
Keywords:
Computer vision, Multimedia signal processing, Audio and visual information, Audio-visual, Immersive, Multimedia applications, Multimedia content production, Scene understanding, State-of-the-art techniques, Virtual/Augmented Reality, Audio signal processing
Identifiers
Local EPrints ID: 440615
URI: http://eprints.soton.ac.uk/id/eprint/440615
PURE UUID: 249c28c8-ce8b-4a45-995b-75dd165bb770
Catalogue record
Date deposited: 12 May 2020 16:35
Last modified: 17 Mar 2024 04:01
Export record
Altmetrics
Contributors
Author:
Adrian Hilton
Author:
H.-G. Kang
Author:
H. Kim
Author:
K. Sohn
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics