Greenberg, J.; Mayer-Patel, K.; Trujillo, S.: YouTube: applying FRBR and exploring the multiple description coding compression model (2012)
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- Abstract
- Nearly everyone who has searched YouTube for a favorite show, movie, news cast, or other known item, has retrieved multiple videos clips (or segments) that appear to duplicate, overlap, and relate. The work presented in this paper considers this challenge and reports on a study examining the applicability of the Functional Requirements for Bibliographic Records (FRBR) for relating varying renderings of YouTube videos. The paper also introduces the Multiple Description Coding Compression (MDC2) to extend FRBR and address YouTube preservation/storage challenges. The study sample included 20 video segments from YouTube; 10 connected with the event, Small Step for Man (US Astronaut Neil Armstrong's first step on the moon), and 10 with the 1966 classic movie, "Batman: The Movie." The FRBR analysis used a qualitative content analysis, and the MDC2 exploration was pursued via high-level approach of protocol modeling. Results indicate that FRBR is applicable to YouTube, although the analyses required a localization of the Work, Expression, Manifestation, and Item (WEMI) FRBR elements. The MDC2 exploration illustrates an approach for exploring FRBR in the context of other models, and identifies a potential means for addressing YouTube-related preservation/storage challenges.
