Moving object detection in the HEVC compressed domain for ultra-high-resolution interactive video
| Autor: | Johan De Praeter, Steven Verstockt, Jan Van de Vyver, Glenn Van Wallendael, Niels Van Kets |
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| Rok vydání: | 2017 |
| Předmět: |
business.industry
Interactive video Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 020207 software engineering 02 engineering and technology Ultra high resolution Object detection Video tracking Computer graphics (images) 0202 electrical engineering electronic engineering information engineering IBCN 020201 artificial intelligence & image processing Computer vision Artificial intelligence business |
| Zdroj: | ICCE Ghent University Academic Bibliography 2017 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS (ICCE) |
| DOI: | 10.1109/icce.2017.7889258 |
| Popis: | Pixel-domain techniques are too computationally complex for automatic object tracking in ultra-high resolution interactive panoramic video. Therefore, this paper proposes a fast object detection method in the compressed domain for High Efficiency Video Coding. Evaluation shows promising results for optimal object sizes. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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