Fingerprinting for Solving A/V Synchronization Issues within Broadcast Environments
Abstract
Loss of synchronization between image and sound continues to annoy viewers and trouble broadcasters. With ever-increasing complexity in the distribution and delivery systems, the challenge for providers is to guarantee synchronization without modifying content while still keeping costs low. Media fingerprinting is an emerging technology that is gaining momentum and has far-reaching benefits for content creators, providers, and distributors alike. This paper describes Media Fingerprinting and its application to the maintenance of audio and video synchronization as well as other media management challenges. Ways in which standardization could help to promote this useful technology will also be considered.
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In the dialoging mode of HIC, delays and reliability of haptic data communication are paramount for safe communication, with a latency requirement of 0-50 ms.
“In the dialoging mode, where the interaction is highly dynamic (e.g., therapist-patient interaction, where the therapist remotely operates a local robotic avatar to assist the local patient to perform rehabilitation exercises), delays and reliability of haptic data communication are paramount for safe communication (a latency requirement of 0-50 ms).”
From The IEEE 1918.1 “Tactile Internet” Standards Working Group and its Standards (2019) · cites this paper as [44]
For the observing mode of HIC, the latency requirement can be further extended to 0-200 ms.
“For the observing mode, where interaction is static or quasi-static (e.g., teletraining system, where a trainee will be observing the performance of a remote trainer), the latency requirement can be further extended to 0-200 ms.”
From The IEEE 1918.1 “Tactile Internet” Standards Working Group and its Standards (2019) · cites this paper as [44]
Cites
Feature Extraction and a Database Strategy for Video Fingerprinting
Oostveen, J. C., Kalker, T., & Haitsma, J. (2002) · Lecture notes in computer science · doi:10.1007/3-540-45925-1_11 · Cited by 180 · see citing works
Robust video fingerprints based on subspace embedding
Radhakrishnan, R., & Bauer, C. (2008) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp.2008.4518092 · Cited by 24 · see citing works
Nonlinear collusion attacks on independent fingerprints for multimedia
Zhao, H., Wu, M. H., Wang, Z., & Liu, K. J. R. (2003) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp.2003.1200058 · Cited by 22 · see citing works
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The IEEE 1918.1 “Tactile Internet” Standards Working Group and its Standards
Holland, O., Steinbach, E., Prasad, R. V., Liu, Q., Dawy, Z., Aijaz, A., Pappas, N., Chandra, K., Rao, V. S., Oteafy, S., et al. (2019) · Proceedings of the IEEE · doi:10.1109/jproc.2018.2885541 · Cited by 200 · see citing works
“[40] S.”
- Authors
- Kudrle, S., Proulx, M., Carrieres, P., & Lopez, M.
- Venue
- SMPTE Motion Imaging Journal
- Published
- 2011-07
- Volume
- 120
- Issue
- 5
- Pages
- 36-46
- ISSN
- 1545-0279 (ISSN-L)
- 2160-2492
- OpenAlex
- W2331867419
- Cited by
- 14
- References
- 3
- Citations by year
- 2024: 1 · 2023: 2 · 2021: 3 · 2020: 1 · 2019: 1 · 2017: 2 · 2015: 1 · 2014: 1 · 2012: 1
- FWCI
- 3.21
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- SMPTE Motion Imaging Journal (publishedVersion)
- Funders
- Bureau of Safety and Environmental Enforcement
- California State University, Chico
- Topics
- Social Sciences › Sociology and Political Science › Multimedia Communication and Technology
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Video Analysis and Summarization
- Physical Sciences › Computer Science › Information Systems › Digital Rights Management and Security
- Keywords
- audio-video synchronization, broadcast synchronization, media management, standardization, content distribution
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