Abstract
Definition of video quality requirements for video surveillance poses new questions in the area of quality assessment. This paper presents a quality assessment experiment for an automatic license plate recognition scenario. We explore the influence of the compression by H.264/AVC and H.265/HEVC standards on the recognition performance. We compare logarithmic and logistic functions for quality modeling. Our results show that a logistic function can better describe the dependence of recognition performance on the quality for both compression standards. We observe that automatic license plate recognition in our study has a behavior similar to human recognition, allowing the use of the same mathematical models. We furthermore propose an application of one of the models for video surveillance systems
Original language | English |
---|---|
Title of host publication | Proceedings of International Conference on Computer Vision Theory and Applications |
Publication date | 2014 |
DOIs | |
Publication status | Published - 2014 |
Event | International Conference on Computer Vision Theory and Applications - Lisbon, Portugal Duration: 5 Jan 2014 → 8 Jan 2014 |
Conference
Conference | International Conference on Computer Vision Theory and Applications |
---|---|
Country/Territory | Portugal |
City | Lisbon |
Period | 05/01/2014 → 08/01/2014 |
Keywords
- Quality Assessment
- Video Surveillance
- License Plate Recognition
- Compression