Sloth Search System
| Autor: | Sanparith Marukatat, Sitapa Rujikietgumjorn, Nattachai Watcharapinchai |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Information retrieval
Computer science Search engine indexing ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Representation (systemics) Cognitive neuroscience of visual object recognition 020207 software engineering 02 engineering and technology Object (computer science) Convolutional neural network Feature (computer vision) Minimum bounding box 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Video browsing |
| Zdroj: | MultiMedia Modeling ISBN: 9783319735993 MMM (2) |
| DOI: | 10.1007/978-3-319-73600-6_46 |
| Popis: | In this paper, we present the Sloth Search System (SSS) for large scale video browsing. Our key concept is to apply object recognition and scene classification to generate keyword tags from video images. This indexing process is performed only on selected frames for faster processing. The keyword tags are used to retrieve videos from a text-based query. Additional feature signatures are also used to extract spatial and color information. These proposed signatures are stored as binary codes for a compact representation and for fast search. Such a representation allows users to search by drawing a sketch or a bounding box of a specific object. |
| Databáze: | OpenAIRE |
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