iPhone 240fps Video Dataset for Various Model Training Tasks
- Resource Type
- Conference
- Authors
- Shimizu, Joi; Komatsu, Shion; Kobayashi, Satsuki; Sun, Heming; Katto, Jiro
- Source
- 2023 IEEE International Conference on Consumer Electronics (ICCE) Consumer Electronics (ICCE), 2023 IEEE International Conference on. :1-5 Jan, 2023
- Subject
- Aerospace
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Engineering Profession
Fields, Waves and Electromagnetics
General Topics for Engineers
Geoscience
Nuclear Engineering
Photonics and Electrooptics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Training
Interpolation
Superresolution
Task analysis
Consumer electronics
Videos
high frame rate
deblurring
frame interpolation
video super-resolution
deep learning
- Language
- ISSN
- 2158-4001
High frame rate videos are recently used for training a variety of image processing tasks such as image/video deblurring and frame interpolation. Yet, the number of publicly available datasets with high frame rate videos are still limited. In this paper, we propose the iPhone 240fps dataset, a dataset which consists of real world 240fps videos. We conduct experiments with deblurring and frame interpolation models to show the effectiveness of this dataset. We also use this dataset to conduct experiments with a state-of-the-art video super-resolution model. We take advantage of the flexibility to change the frame rate of the dataset and test which fps is best suited for training the model. We believe this dataset can make contributions to future works in image and video processing. The dataset is publicly available on our cloud storage † † https://waseda.box.com/s/4ihxczdiythmeml38ndgsq4l1q90vnpp: