Seongjin Kim
ABSTRACT
As the consumption of media content shifts from traditional broadcasting to OTT platforms, a large amount of OTT-exclusive content is being produced and distributed. In order to appropriately evaluate the value of content distributed via OTT, it's necessary to have impartial viewership measurements conducted by an independent third party, instead of solely relying on data from OTT service providers. One method for third parties to survey OTT viewership is by capturing the content being viewed on OTT devices through separate software, then identifying and recording this content by comparing its fingerprint with a database of content fingerprints. This paper proposes a method for capturing screen and audio on Android, a representative mobile OTT device, thereby making such identification possible. The feasibility and limitations of screen and audio capture are examined for representative OTT services.
- Sun-Young Choi, Min-Soo Kim, and Myoung-Jun Kim. 2014. An Application-embedded method to trace OTT viewing patterns on smartphone. Journal of the Korea Institute of Information and Communication Engineering 18, 4 (2014), 1000--1006.Google Scholar
Cross Ref
- Jae-Woo Kim, Jung-Jae Kim, Hyun-Chul Kim, and Moon-Seog Jun. 2010. Design on Authentication System Based Multicast DRM for Protection of IPTV Contents. The Journal of Korean Institute of Communications and Information Sciences 35, 4B (2010), 713--720.Google Scholar
- Seongcheol Kim, Hyunmi Baek, and Dam Hee Kim. 2021. OTT and live streaming services: Past, present, and future. (2021), 102244 pages.Google Scholar
- SeongJin Kim and Junyoung Heo. 2022. OTT Contents Recording and Identification in Mobile Platform. In Proceedings of the 11st International Conference on Smart Media and Applications(SMA2022). KISM, Korean Institute of Smart Media.Google Scholar
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- Minho Park, Chongin Jeong, Donghae Kim, Seoyoung Cho, Danial Hooshyar, and Junyoung Heo. 2022. Video and Audio Recording-based Audience Rating. In Proceedings of the 11st International Conference on Smart Media and Applications(SMA2022). KISM, Korean Institute of Smart Media.Google Scholar
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Index Terms
- OTT Contents Identification based on Audio Capture and Analysis in Android Mobile Platform
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