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CWcollab: Presenting multimedia with web-based context-aware collaboration.
Tang, Chunxu; Wang, Beinan; Chen, C Y Roger; Wu, Huijun.
  • Tang C; Twitter Inc., 1355 Market Street, San Francisco, United States.
  • Wang B; Alluxio Inc., 1510 Fashion Island Boulevard, San Mateo, United States.
  • Chen CYR; Syracuse University, Center for Science and Technology, Syracuse, United States.
  • Wu H; Arizona State University, 699 S. Mill Avenue, Tempe, United States.
Entertain Comput ; 43: 100511, 2022 Aug.
Article in English | MEDLINE | ID: covidwho-1926426
ABSTRACT
Remote collaboration tools for conferencing and presentation are gaining significant popularity during the COVID-19 pandemic period. Most prior work has drawbacks, such as a) limited support for media types, b) lack of interactivity, for example, an efficient replay mechanism, c) large bandwidth consumption for screen sharing tools. In this paper, we propose a general-purpose multimedia collaboration platform-CWcollab. It supports collaboration on general multimedia by using simple messages to represent media controls with an object-prioritized synchronization approach. Thus, CWcollab can not only support fine-grained accurate collaboration, but also rich functionalities such as replay of these collaboration events. The evaluation shows hundreds of kilobytes can be enough to store the events in a collaboration session for accurate replays, compared with hundreds of megabytes of Google Meet.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies Language: English Journal: Entertain Comput Year: 2022 Document Type: Article Affiliation country: J.entcom.2022.100511

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies Language: English Journal: Entertain Comput Year: 2022 Document Type: Article Affiliation country: J.entcom.2022.100511