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The huge increase in information published on the web, and its users has led to the emergence of notifications systems (Web syndication), such as the Publish/Subscribe system (Pub/sub) that helps the user to track information managed by the information collectors (RSS (Really Simple Syndication)) in real time. For pertinent use of the information issue from large data streams (Big Data) that currently...
Although biometrics have forayed into the mobile world, most current approaches rely on a single biometric modality. This limits their recognition accuracy in uncontrolled conditions. For example, performance of face and voice recognition systems may suffer in poorly lit and noisy settings, respectively. Integration of identifying information from multiple biometric modalities can help solve this...
The discovery of the requirements is a pinnacle phase in every project, and it is provided by the requirements engineering. The formalization of needs allows decision-makers to limit the interpretations of needs and it therefore facilitates the confrontation of the needs of several actors, among themselves on one hand, and with the data sources on the other. The formalization of needs offers, additionally,...
Aggregated Search describes the increasingly common Information Retrieval Paradigm of presenting to the internet user one-result list with information from different documents and media types. In this work, we review some aggregated search related work and present an overview of our proposed idea in which we investigate the problem of relationships between different results coming from different sources...
At the heart of all Medical Information Systems (MIS), we found the patient record. It represents a written memory of administrative, clinical, biological, diagnostic and treatment information about the patient. It is constituted around the data accumulation related to a patient's care over time. The computerization of the patient record across the MIS proves to be essential for effective care and...
Nowadays, the two dimensional discrete wavelet transform 2D-DWT has become a very important tool in the field of image processing. Several architectures for implementing DWT are proposed. In this paper we present an architecture for implementing the DWT based on the convolution algorithm. This implementation is fully described in VHDL and implemented in an FPGA component.
This paper presents a LIDAR and vision-based pedestrian detection system. 3D LIDAR data are segmented into clusters. The clusters are projected on the corresponding image to get regions of interests (ROIs). Color-based HOG features are used together with SVM classifiers to detect pedestrian from extracted ROIs. The main contributions of the paper are the use of (LIDAR data to get ROIs and color-based...
This work presents a comparison of two implementations of the last software version of The High Efficiency Video Coding (HEVC) decoder in a single low cost processor ARM Cortex-A series using NEON architecture which is a Single Input Multiple Data (SIMD). By using this technology of optimization, the whole execution time is reduced up to x4. We have analyzed separately all the blocks in the decoder...
The video coding standard, H.264/MPEG-4 AVC, uses variable block sizes in intra coding. This feature has achieved significant coding gain compared to coding a macroblock (MB) using fixed block size. However, this feature results in extremely high computational complexity when brute force rate distortion optimization (RDO) algorithm is used. In this paper, we propose an Efficient Intra Block Size Decision...
The work presented in this paper is part of the filed of automatic recognition of radar targets. Thus, for assistance in target recognition, we propose a new approach to extract efficient feature from synthetic aperture radar (SAR) images. The proposed approach deals with a combination of two feature descriptors obtained from two methods. In the first method, we perform the dual-tree complex wavelet...
A Full Reference Image Quality Metric (FR-IQM) for stereoscopic images based on two main steps is presented in this paper. The first step consists to select some features according to the considered degradation types and combine those features using an Artificial Neural Network (ANN). These features are here extracted from a Cyclopean Image (CI). At the end of this step, a FR-IQM per degradation is...
In the omnidirectional vision, the catadioptric sensors causes a non-uniform resolution and geometric distortions in resulting images, hence, the conventional processing methods are not convenient. The aim of this work is to adapt matching method based on the proximity criterion to omnidirectional stereovision. The adapted method based on geodesic distance since the treatments are done on a spherical...
In this paper, we design new efficient VLSI architecture for Integer Discrete Cosine Transform (DCT) included in the last new High Efficiency Video Coding (HEVC) standard. The proposed architecture has 4×4/8×8/16×16/32×32 Transform Units (TUs) operating in a parallel way to calculate two dimensional (2D) integer DCT using one block 1-D DCT and one transpose memory. Transform 1D is first calculated...
In the medical field, research studies have shown that Augmented Reality (AR) based surgical training has a good potential in making the learning process more active. However, lack of displaying the correct occlusion between the real surgical instrument and virtual organ greatly limits the trainee surgeons understanding and reduces the overall system usability. In this paper, we propose a novel mutual...
Multi-scale Retinex algorithm is an image enhancement algorithm that aims at image reconstruction. The algorithm maintains the high fidelity and the dynamic range compression of the image, so the enhancement effect is obvious. The algorithm exploits a large number of convolution operations to achieve dynamic range compression and color/brightness rendition, and the calculation time increased significantly...
Internet is a very rich resource of documents that need to be analysed to extract their sentimental values. Sentiment Analysis which is a subfield of Natural Language Processing discipline focuses on this issue. The existence of sentiment lexicons in their own language is a very important resource for scientists studying in sentiment analysis field. Since many studies of sentiment analysis have been...
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