Cost-effective End-to-end Information Extraction for Semi-structured Document Images

A real-world information extraction (IE) system for semi-structured document images often involves a long pipeline of multiple modules, whose complexity dramatically increases its development and maintenance cost. One can instead consider an end-to-end model that directly maps the input to the target output and simplify the entire process. However, such generation approach is known to lead to unstable performance if not designed carefully. Here we present our recent effort on transitioning from our existing pipeline-based IE system to an end-to-end system focusing on practical challenges that are associated with replacing and deploying the system in real, large-scale production. By carefully formulating document IE as a sequence generation task, we show that a single end-to-end IE system can be built and still achieve competent performance.

LIIR at SemEval-2021 task 6: Detection of Persuasion Techniques In Texts and Images using CLIP features

We describe our approach for SemEval-2021 task 6 on detection of persuasion techniques in multimodal content (memes). Our system combines pretrained multimodal models (CLIP) and chained classifiers. Also, we propose to enrich the data by a data augmentation technique. Our submission achieves a rank of 8/16 in terms of F1-micro and 9/16 with F1-macro on the test set.

A comparison of Image Enhancement Techniques for Recognizing and Classifying Automatically the Medical Images and implement on MRI brain Image

The amount of digital images that are produced in hospitals is increasing rapidly. Effective medical images can play an important role in aiding in diagnosis and treatment, they can also be useful in the education domain for healthcare students by explaining with these images will help them in their studies, new trends for image retrieval using automatic image classification has been investigated for the past few years. Medical image Classification can play an important role in diagnostic and teaching purposes in medicine. For these purposes different imaging modalities are used. There are many classifications created for medical images using both grey-scale and color medical images. In this paper, different algorithms in every step involved in medical image processing have been studied. One way is the algorithms of preprocessing step such as Median filter [1], Histogram equalization (HE) [2], Dynamic histogram equalization (DHE), and Contrast Limited Adaptive Histogram Equalization (CLAHE). Second way is the Feature Selection and Extraction step [3,4], such as Gray Level Co-occurrence Matrix(GLCM). Third way is the classification techniques step, which is divided into three ways in this paper, first one is texture classification techniques, second one is neural network classification techniques, and the third one is K-Nearest Neighbor classification techniques. In this paper, we have use MRI brain image to determine the area of tumor in brain. The steps started by preprocessing operation to the image before inputting it to algorithm. The image was converted to gray scale, later on remove film artifact using special algorithm, and then remove the Skull portions from the image without effect on white and gray matter of the brain using another algorithm, After that the image enhanced using optimized median filter algorithm and remove Impurities that produced from first and second steps.

Real Time Vehicle Detection in Images using HOG Features and SVM

The Histogram of Oriented Gradient (HOG) was used to construct the Support Vector Machine (SVM) workbook. This method was applied using C++ programming language and OpenCV and Dlib Libraries.

Using satellite images in updating topographic maps (An applicated study on Al-Bahlolia district)

The science and art of producing maps had been subjected to the changes as a result of new recent techniques developments at space photogrammetry, that lead to appearance of programs and applications in the computer's world. This associated with the advent of information age and Geographic information system that changed the traditional topographic map from just a map to an analyzing and viewing tool. All Syrian Topographic maps are old, out dated, and largely exist in paper form. Due to the high cost of aerial photography, These maps have not been updated for many years and such are not useful for planning. Therefore, there is an urgent need to produce new maps using high resolution satellite images. The research put a method for updating topographic maps of Al-Bahlolia district which have scales (1/50000) and (1/200000), By using Cartosat1 images. After updating, The results were that there is increasing in the area of planted land. In addition to building developments, increasing of length and density of roads between and inside villages. Contour lines also have been generated automatically, so efforts and time were be saved.

Monitoring continuity of eddies` characteristics and trajectory in the eastern Levantine sub-basin

In this study, SST satellite images analysis (from September 2015 to November 2016) is focalised on the monitoring of the mesoscale eddies in the eastern Levantine subbasin (at the Syrian coasts as well as the neighboring coasts).

Fractal Compression of Stereo Images Using Block Matching and SGM Algorithms to Obtain the Disparity Map

Considering the increasing importance of stereo image compression and Fractal geometry becoming one of the most important fields of modern science ,we applied fractal image compression based on quadtree portioning method and global search algorithm , on a group of stereo image pairs . As the stereo image consists of two planar images , left and right .Both the left image ( reference image ) and the disparity map between left and right images , were compressed using fractal compression . We applied both block matching algorithm and Semi Global Method (SGM)to obtain the disparity map. The left image and the depth map were reconstructed using fractal decompression while the right image (target image ) was reconstructed using the reconstructed left image , disparity map and the error image between the original right image and the reconstructed right image that was build from the left image and the disparity map . The results were evaluated using quality objective measures which are MSE (Mean Square Error ) and PSNR (Peak Signal to Noise Ratio) and efficiency objective measures which are CR(Compression Ratio) and compression time . The results were compared with JPEG compression of stereo pairs based on Discrete Cosine Transform DCT and JPEG2000 compression of stereo pairs on stereo image based on Discrete Wavelet Transform DWT .

Develop a Parallel Processing System to Recognize the Deaf and Mute Gestures and Apply it based on FPGA

In this paper, we processed an array which represents the human hand image to get the characteristics of this image. So, we used FPGA technique, and the processing operation is partitioned into three threads which is carried out in parallel. Each thread is carried out using the pipeline technique by partitioning thread into four segments. After that, we evaluated the speedup that we get in result of using the pipeline technique and the parallel threads. So, we have the possibility to design an embedded system integrated into chip (SoC), and using the mobile phones as integral devices support the software and hardware resources.

Evaluation the efficiency and accuracy of retinal images registration algorithm

In this paper, we describe an algorithm to register the retinal images by employing a relatively cross-correlation function. Pixel to pixel accuracy has been investigated and evaluated among registered images by calculating the local cross-correlation between extracted vessels profiles along tracked vessels after transforming the images into alignment.

Some eddies` characteristics at the Syrian coast

SST satellite images analysis has showed many characteristics for a lot of mesoscale eddies in the Eastern basin of the Mediterranean Sea. In this study, the SST analysis is focalised on the mesoscale eddies` formation at the Syrian coasts. We are also interested by their characteristics for their influences on the marine environment .