Classification of compressed domain images utilizing open VINO inference engine
This paper provides a platform to investigate and explore method of �partial decoding of JPEG images� for image classification using Convolutional Neural Network (CNN). The inference is targeting to run on computer system with x86 CPU architecture. We aimed to improve the inference speed of classifi...
Saved in:
Main Authors: | Tan, Zhen K.S., Borhanuddin B., Wong, Wan Y., Ooi, Min T.W., Khor, Ghee J. |
---|---|
Other Authors: | 57211607444 |
Format: | Article |
Published: |
Blue Eyes Intelligence Engineering and Sciences Publication
2023
|
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Deep learning inference on edge device: Traffic violation detection using OpenVino
by: Chiew, Jing Cheng
Published: (2023) -
Face reidentification system to track factory visitors using OpenVINO
by: Wong, Yiek Heng
Published: (2020) -
Single-grade engine lubricant: introduce viscosity index numerical order (VIno)
by: Abdullah, Adibah, et al.
Published: (2014) -
A Fast Imaging Indexing Technique in JPEG Compressed Domain
by: Baharudin, B, et al.
Published: (2003) -
Domain expert maintainable inference knowledge of assessment task
by: Halim, S.A., et al.
Published: (2017)