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- W2892295629 abstract "We introduce the problem of content-based retrieval for moments in videogames. This new area for artificial intelligence in games exercises automated gameplay and visual understanding while making connections to information retrieval. We propose a number of techniques to discover the interesting moments in a game (crawling), show how to compress moments into an efficiently searchable structure (indexing), and recall those moments most relevant to a user-provided query (retrieving). We combine these ideas in a prototype visual search engine and compare it with commercial visual search engines. Searching within a corpus of moments from Super Nintendo Entertainment System games using query images extracted from YouTube videos, our prototype is able to identify moments that web-oriented search engines rarely see." @default.
- W2892295629 created "2018-09-27" @default.
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- W2892295629 date "2018-08-07" @default.
- W2892295629 modified "2023-09-26" @default.
- W2892295629 title "Crawling, indexing, and retrieving moments in videogames" @default.
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- W2892295629 doi "https://doi.org/10.1145/3235765.3235786" @default.
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