Interactive Story Maker
| Autor: | Chang-Uk Kwak, Minho Han, Gyeong-June Hahm, Sun-Joong Kim |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Service (systems architecture)
Information retrieval Natural language user interface business.industry Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 020206 networking & telecommunications 02 engineering and technology Construct (python library) 0202 electrical engineering electronic engineering information engineering Web application 020201 artificial intelligence & image processing Line (text file) business Natural language |
| Zdroj: | ACM Multimedia |
| Popis: | Users who want to reuse existing videos and re-create new videos need a video retrieval system that searches relevant video clips from a vast amount of video clips. In addition, a re-creation tool is needed that allows users to arrange videos according to the user defined story line using the retrieved videos. Current video retrieval services are based on simple tags, they have potential limitations on searching relevant videos for natural language queries. That is, if you enter a scenario that describes a scene as a query, there is a limitation in getting the appropriate retrieval results. To address these problems, this paper introduces a system that performs query preprocessing and expansions and provides users with retrieval results for a natural language query. In addition, we introduce a web based re-creation tool that can construct story line using retrieved videos and play a re-created video. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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