λ-CLOVR: looking for a needle in a haystack: a content-based video big data retrieval system in the cloud

Abstract The rapid proliferation of video data from various sources underscore the pressing need for effective Content-based Video Retrieval (CBVR) systems. Traditional retrieval methodologies are increasingly inadequate for managing the complexities and scale of video big data, which necessitates t...

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主要な著者:	Muhammad Numan Khan, Aftab Alam, Young-Koo Lee
フォーマット:	Artigo
言語:	Inglês
出版事項:	SpringerOpen 2025-11-01
シリーズ:	Journal of Big Data
主題:	Content-based video retrieval Big data Lambda-architecture Inverted-index In-memory architecture Resilient distributed datasets
オンライン･アクセス:	https://doi.org/10.1186/s40537-025-01308-1
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