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المؤلفBaccour E.
المؤلفErbad A.
المؤلفBilal K.
المؤلفMohamed A.
المؤلفGuizani M.
المؤلفHamdi M.
تاريخ الإتاحة2022-04-21T08:58:26Z
تاريخ النشر2020
اسم المنشور2020 IEEE International Conference on Informatics, IoT, and Enabling Technologies, ICIoT 2020
المصدرScopus
المعرّفhttp://dx.doi.org/10.1109/ICIoT48696.2020.9089607
معرّف المصادر الموحدhttp://hdl.handle.net/10576/30101
الملخصWith the advancement in personal smart devices and pervasive network connectivity, users are no longer passive content consumers, but also contributors in producing new contents. This expansion in live services requires a detailed analysis of broadcasters' and viewers' behavior to maximize users' Quality of Experience (QoE). In this paper, we present a dataset gathered from one of the popular live streaming platforms: Facebook. In this dataset, we stored more than 1,500,000 live stream records collected in June and July 2018. These data include public live videos from all over the world. However, Facebook live API does not offer the possibility to collect online videos with their fine grained data. The API allows to get the general data of a stream, only if we know its ID (identifier). Therefore, using the live map website provided by Facebook and showing the locations of online streams and locations of viewers, we extracted video IDs and different coordinates along with general metadata. Then, having these IDs and using the API, we can collect the fine grained metadata of public videos that might be useful for the research community. We also present several preliminary analyses to describe and identify the patterns of the streams and viewers. Such fine grained details will enable the multimedia community to recreate realworld scenarios particularly for resource allocation, caching, computation, and transcoding in edge networks. Existing datasets do not provide the locations of the viewers, which limits the efforts made to allocate the multimedia resources as close as possible to viewers and to offer better QoE. 2020 IEEE.
راعي المشروعQatar Foundation;Qatar National Research Fund
اللغةen
الناشرInstitute of Electrical and Electronics Engineers Inc.
الموضوعInternet of things
Location
Metadata
Multimedia systems
Quality of service
Social networking (online)
User experience
Video streaming
Live video streaming
Multimedia community
Multimedia resources
Pervasive networks
Preliminary analysis
Quality of experience (QoE)
Real-world scenario
Research communities
Data streams
العنوانFacebookVideoLive18: A Live Video Streaming Dataset for Streams Metadata and Online Viewers Locations
النوعConference Paper
الصفحات476-483
dc.accessType Abstract Only


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