Abstract:
This paper presents a method to save energy for mobile systems that perform content-based image retrieval (CBIR). CBIR is a computation-intensive application and a resour...Show MoreMetadata
Abstract:
This paper presents a method to save energy for mobile systems that perform content-based image retrieval (CBIR). CBIR is a computation-intensive application and a resource-constrained mobile system may save energy by offloading computation to a grid-powered server. We develop three offloading schemes based on different conditions to save energy for CBIR on mobile systems. We implement a CBIR algorithm on an HP iPAQ hw6945 and physically measure the energy savings.
Date of Conference: 24-27 May 2009
Date Added to IEEE Xplore: 26 June 2009
ISBN Information:
ISSN Information:
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Mobile System ,
- Image Retrieval ,
- Content-based Image Retrieval ,
- Energy Conservation ,
- Energy Consumption ,
- Mobile Devices ,
- Image Features ,
- Image Size ,
- Local Search ,
- Number Of Images ,
- Total Energy Consumption ,
- Network Bandwidth ,
- Database Size ,
- Query Image ,
- Personal Digital Assistants ,
- Flash Memory ,
- Perform Feature Extraction ,
- Feature Database ,
- Computation Offloading ,
- Offloading Decision ,
- Linux Server ,
- Multiple Queries ,
- Single Query ,
- Wavelet Transform ,
- Wireless Networks ,
- Local Feature Extraction
Contents Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Mobile System ,
- Image Retrieval ,
- Content-based Image Retrieval ,
- Energy Conservation ,
- Energy Consumption ,
- Mobile Devices ,
- Image Features ,
- Image Size ,
- Local Search ,
- Number Of Images ,
- Total Energy Consumption ,
- Network Bandwidth ,
- Database Size ,
- Query Image ,
- Personal Digital Assistants ,
- Flash Memory ,
- Perform Feature Extraction ,
- Feature Database ,
- Computation Offloading ,
- Offloading Decision ,
- Linux Server ,
- Multiple Queries ,
- Single Query ,
- Wavelet Transform ,
- Wireless Networks ,
- Local Feature Extraction
