Image indexing, storage, and retrieval based on pictorial content is a feature of image database systems which is becoming of increasing importance in many application domains. Medical image database systems, which support the retrieval of images generated by different modalities based on their pictorial content, will provide added value to future generation picture archiving and communication ...

The potential value of hashing techniques has led to it becoming one of the most active research areas in computer vision and multimedia. However, most existing hashing methods for image search and retrieval are based on global representations, e.g., GIST [3], which lack the analysis of the intrinsic geometric property of local features and heavily limit the effectiveness of the hash code. In t...

Naive Bayes Nearest Neighbor (NBNN) and its variants, i,e., local NBNN and the NBNN kernels, are local feature-based classifiers that have achieved impressive performance in image classification. By exploiting instance-to-class (I2C) distances (instance means image/video in image/video classification), they avoid quantization errors of local image descriptors in the bag of words (BoW) model. Ho...

Currently, the most used serial communication protocols to exchange information between different electronic embedded devices are the SPI and I2C. This paper describes the development and implementation of these protocols using a FPGA card. For the implementation of each protocol, it was taken into account different modes of operation, such as master/slave mode sending or pending data mode. For...

We present an analysis of the behaviour of an IC Linux driver, by means of model checking with the mCRL2 toolset and static analysis with UNO. We have reverse engineered the source code to obtain the structure and interactions of the driver. Based on these results, we have semi-automatically created an mCRL2 model of the behaviour of the driver, on which we have checked mutual exclusion propert...