INSERT: Efficient Sorting of Images on Mobile Devices
We amass increasing amounts of photos on our mobile devices, primarily captured by built-in cameras. These cameras provide precious opportunities to preserve memories or serve for creative engagement. However, creating order over these vast photo collections gets more difficult as we create more and more photos and this puts these valuable resources at risk. People fail to sort their photo collections manually and automated algorithms are not yet able to identify and group images based on the features that are most relevant to the human beholder. For these reasons we present INSERT, a novel mobile phone application for supporting manual sorting of photo collections in an efficient fashion. A user study featuring 21 participants showed that the proposed interaction mechanisms were well perceived and that there is yet much research to be conducted aiming at the management of image collections on mobile device, in particular with small screens.
In this paper, we present a high speed and large capacity NAND flash memory-based storage module after comprehensive comparison of different storage devices. The hardware platform proposed in this paper is designed under parallel architecture, on which the software design based. In the software design, we adopt ping-pong operation and pipeline technology to enhance the module's performance. Moreover, we will analyze the module's access speed, storage capacity and scalability in the performance analysis.