Eye-Controlled Region of Interest HEVC Encoding
| Autor: | Jarno Vanne, Timo Hämäläinen, Joose Sainio, Arttu Yla-Outinen, Marko Viitanen |
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| Přispěvatelé: | Tampere University, Pervasive Computing |
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Live video
Computer science business.industry 213 Electronic automation and communications engineering electronics 020208 electrical & electronic engineering ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 020206 networking & telecommunications 02 engineering and technology Gaze Region of interest Encoding (memory) Bit rate 0202 electrical engineering electronic engineering information engineering Eye tracking Computer vision Artificial intelligence Subjective quality business Encoder |
| Zdroj: | ISM |
| Popis: | This paper presents a demonstrator setup for real-time HEVC encoding with gaze-based region of interest (ROI) detection. This proof-of-concept system is built on Kvazaar open-source HEVC encoder and Pupil eye tracking glasses. The gaze data is used to extract the ROI from live video and the ROI is encoded with higher quality than non-ROI regions. This demonstration illustrates that performing HEVC encoding with non-uniform quality reduces bit rate by 40-90% and complexity by 10-35% over that of the conventional approaches with negligible to minor deterioration in subjective quality. acceptedVersion |
| Databáze: | OpenAIRE |
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