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Image and video processing on mobile devices: a survey
Chamin Morikawa1, Michihiro Kobayashi1, Masaki Satoh1
1Morpho Inc, Chiyoda-ku, Tokyo, 101-0065 Japan.
The Visual Computer
|June 28, 2021
Summary
This survey explores mobile image processing and computer vision, detailing algorithm adaptations for device constraints. It serves as a resource for researchers applying these technologies in real-world mobile applications.
Area of Science:
- Computer Science
- Image Processing
- Computer Vision
Background:
- Mobile devices offer diverse applications like digital image enhancement and augmented reality.
- Generic algorithms face limitations due to mobile device constraints and external factors.
Purpose of the Study:
- To survey mobile image processing and computer vision applications.
- To highlight constraints specific to mobile devices.
- To explain algorithm adaptations for accuracy and performance.
Main Methods:
- Literature review of mobile image processing and computer vision.
- Analysis of common constraints on mobile platforms.
- Examination of algorithm modifications for mobile environments.
Main Results:
- Identified key constraints affecting mobile image processing and computer vision.
- Detailed how algorithms are adapted to overcome these limitations.
- Provided examples of successful mobile applications.
Conclusions:
- Customized algorithms are essential for effective mobile image processing and computer vision.
- This survey provides a valuable resource for researchers in the field.
- Future research can build upon these adaptations for advanced mobile applications.
