Özet
In this study, the data which is compressed by the most recent video compression standard HEVC (High Efficient Video Coding) has been analyzed and shown that vehicle license plate can be detected without a need to full decode process. An image has been created that represents HEVC block partitioning structure which is available at the beginning of a compression process. A convolutional neural network, using these kind of images, is trained to find the corresponding number plate regions. For comparison; a second convolutional neural network is trained in pixel domain and the obtained results are given.
| Tercüme edilen katkı başlığı | Vehicle license plate detection using only block partitioning structure of the high efficiency video coding (HEVC) |
|---|---|
| Orijinal dil | Türkçe |
| Ana bilgisayar yayını başlığı | 27th Signal Processing and Communications Applications Conference, SIU 2019 |
| Yayınlayan | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Elektronik) | 9781728119045 |
| DOI'lar | |
| Yayın durumu | Yayınlandı - Nis 2019 |
| Etkinlik | 27th Signal Processing and Communications Applications Conference, SIU 2019 - Sivas, Türkiye Süre: 24 Nis 2019 → 26 Nis 2019 |
Yayın serisi
| Adı | 27th Signal Processing and Communications Applications Conference, SIU 2019 |
|---|
???event.eventtypes.event.conference???
| ???event.eventtypes.event.conference??? | 27th Signal Processing and Communications Applications Conference, SIU 2019 |
|---|---|
| Ülke/Bölge | Türkiye |
| Şehir | Sivas |
| Periyot | 24/04/19 → 26/04/19 |
Bibliyografik not
Publisher Copyright:© 2019 IEEE.
Keywords
- CNN
- Compressed Domain
- H265
- HEVC
- Vehicle License Plate Detection
Parmak izi
Yüksek Verimli Video Kodlama (HEVC) Blok Bölümleme Yapisi ile Araç Plaka Tespiti' araştırma başlıklarına git. Birlikte benzersiz bir parmak izi oluştururlar.Alıntı Yap
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver