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VIOLENT VIDEO DETECTION BASED ON MoSIFT FEATURE AND SPARSE CODING

VIOLENT VIDEO DETECTION BASED ON MoSIFT FEATURE AND SPARSE C...

引用

IEEE International conference on Acoustics, Speech and Signal processing

作者： Long Xu Chen Gong Jie Yang Qiang Wu Lixiu Yao Institution of Image Processing and Pattern Recognition Shanghai Jiao Tong University China School of Computing and Communications University of Technology Sydney Australia

ISBN: (纸本)9781479928941

To detect violence in a video, a common video description method is to apply local spatio-temporal description on the query video. Then, the low-level description is further summarized onto the high-level feature based on Bag-of-Words (BoW) model. However, traditional spatio-temporal descriptors are not discriminative enough. Moreover, BoW model roughly assigns each feature vector to only one visual word, therefore inevitably causing quantization error. To tackle the constrains, this paper employs Motion SIFT (MoSIFT) algorithm to extract the low-level description of a query video. To eliminate the feature noise, Kernel Density Estimation (KDE) is exploited for feature selection on the MoSIFT descriptor. In order to obtain the highly discriminative video feature, this paper adopts sparse coding scheme to further process the selected MoSIFTs. Encouraging experimental results are obtained based on two challenging datasets which record both crowded scenes and non-crowded scenes.

关键词： Videotapes Eigenvector Quantization Feature extraction Violence BOW labeling scheme High-level features LOW LEVEL

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A new switching median filter for digital radiography

A new switching median filter for digital radiography

引用

IEEE Symposium on Nuclear Science (NSS/MIC)

作者： I. Frosio N.A. Borghese Computer Science Department University of Milano-Bicocca Milan Italy

Localized hardware failures on sensor and communication channel often introduce in digital radiographies a characteristic impulsive noise, known as "salt & pepper". Eliminating these failures, which generate the corrupted pixels, is a very costly or even impossible task; therefore, image processing techniques have been developed to correct the gray level values of these pixels. We propose here a new switching median filter for digital radiography, which has been inspired by the properties of the human visual system: a pulse is detected on the radiography by measuring its visibility in terms of local contrast and signal to noise ratio. The local background value is estimated applying a 3/spl times/3 median filter to the image, and noise distribution is evaluated by means of a simple and reliable model, which describes the properties of the digital sensor and incorporates the statistical characteristic of the noise. Since the filter requires no iteration, it can work in real time also on large images (less than 0.7s for 12 bit, 4.8 MPixel images). The presence of edges does not affect the pulse detection and correction, thus resulting in a more efficient approach with regards to more traditional methods. Some residual pulse may remain visible only in the darkest zones of the radiography, which are usually poor of diagnostic information.

关键词： Digital filters Radiography Sensor phenomena and characterization Pixel Pulse measurements Background noise image edge detection Communication switching Hardware Communication channels

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Efficient use of multipliers in microprocessor implementation of Hamming distance for binary sequence correlation

Efficient use of multipliers in microprocessor implementatio...

引用

IEEE International Networking and communications conference, INCC

作者： M.A. Tahir A. Munawar I.A. Taj Center for Advanced Studies in Engineering Islamabad Pakistan

The paper focuses on a microprocessor implementation of the Hamming distance for binary correlation. It uses the fact that the binary correlation result can be derived from binary convolution (i.e., modeled with AND gates instead of XOR); as a result, convolution of multiple bits with multiple bits can be computed by a single multiplication instruction. This follows from a general proof for base-n convolution that is presented. Furthermore, using a hierarchical shift-addition approach, we can also reduce the number of additions in the subsequent step. The paper also shows that this approach can also be used in the frequency domain where an N/spl times/N point binary circular convolution can be modeled using an N/spl times/M double precision FFT, where M is a sub-multiple of N depending on the kernel size. Comparison of the time/frequency approaches is presented for different kernel/image sizes, with the help of benchmarking results.

关键词： Microprocessors Hamming distance Binary sequences Convolution Signal processing algorithms Face recognition Fingerprint recognition Fast Fourier transforms Digital communication Digital images

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Comparisons of Various imagery Models in Predicting visual imagery Using Color-Apparel image Samples

Comparisons of Various Imagery Models in Predicting Visual I...

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2012 4th International conference on Environmental Science and Information Application Technology(ESIAT 2012)

作者： Wen-Guey Kuo Yuh-Chang Wei Chung-Kan Lee Department of Textile Engineering Chinese Culture University Institute of Information Communications Chinese Culture University

One of the most important functions for the image & video signal processing, machine vision and human-machine Interface or industry application is to process color information, to simulate visual color-sensation or color-specification or color imagery. In addition, color imagery has been investigated using specific pattern samples with the exception of textile specimens for about six decades since the semantics differential theory proposed by Torgerson. And, so far, there are three celebrated color imagery models proposed by Ou et al. (abbreviated as the Ou1 and Ou2 for single color and two color-combinations respectively) and Kuo (as the Kuo) separately. A color psychophysical experiment with 186 fashion-apparel images containing 141 ones in which the fashion apparels are with two-color combinations was conducted, and the experimental visual results were used to estimate the performance of those three models in predicting visual color imagery. The results indicates that although all three color-imagery models tested have better performance in predicting the visual color-imagery of Heavy-Light imagery scale values than those of the other two imagery scale values of Beautiful-Ugly and Various-Steady, on the whole the three models tested still cannot have good agreement between their predictions and visual results of color imagery. Meanwhile, this finding may obviously shows that a more precise color-imagery estimating model still needs to be developed for the fashion apparels with multiple-color combinations.

关键词： Color imagery, Multiple-color combination, Performance, Agreement

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How does Our Neural System Construct the Representation of a Person (an Object) in the Brain

How does Our Neural System Construct the Representation of a...

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The Third Asian conference on Vision (ACV2004)

作者： Tianzhen Wang P. O. Box 125(Digital image processing LAB) , Automatic Institute, Wuhan University of Technology,. East Campus, Wuhan 430070, China,

Due to the infantile amnesia, it is impossible for people to recall how does the representation of some person take shape in mind. However, today everybody watches movies in TV or in theatre, almost all have no problem to confirm a person, e.g. a princess, from a video stream (TV film), it means that people can form the representation of a person of the film in brain easy. How does the human-being do it? Based on the analysis of famous TV movie "Princess Returning Pearl", two rules can be inferred

关键词： an Object in the Brain How does Our Neural System Construct the Representation of a Person

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Object-Based Resolution Selection for Efficient Edge-Assisted Multi-Task Video Analytics

Object-Based Resolution Selection for Efficient Edge-Assiste...

引用

GLOBECOM 2022 - 2022 IEEE Global communications conference

作者： Chengzhi Wang Peng Yang Jie Lin Wen Wu Ning Zhang School of Electronic Information and Communications Huazhong University of Science and Technology Wuhan China Peng Cheng Laboratory Frontier Research Center Shenzhen China Department of Electrical and Computer Engineering University of Windsor Windsor ON Canada

ISBN: (纸本)9781665435413

Camera-based monitoring is becoming increasingly popular, as multi-objective detection tasks can be enabled by video analytics over captured frames. Yet, video frames have to be delivered to computation-capable edge nodes for further processing, because the amount of required resources exceeds the capacity of built-in hardware of video cameras. In this paper, observing that video resolution directly determines the subsequent bandwidth and computing resource consumption, as well as the analytic accuracy, we propose an edge-assisted object-based resolution configuration algorithm to achieve efficient multi-task video analytics. The proposed algorithm harnesses the diversity of neural networks used for detecting different objects in one frame, which brings about two-fold possibility for bandwidth saving. On one hand, background information cannot be indiscriminately transmitted, as is unlikely to contribute to improving the analytics accuracy. On the other hand, fine-grained resolution selection allows object-level optimal resolution that minimizes the transmitted data volume under accuracy and latency constraints. Simulation results demonstrate that the proposed method can effectively reduce up to 50% of the transmitted data volume, compared to existing benchmarks.

关键词： Sensitivity visual analytics Simulation image edge detection Neural networks Bandwidth Multitasking

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Discrimination of Haploid and Diploid Maize Seeds Based on Deep Features

Discrimination of Haploid and Diploid Maize Seeds Based on D...

引用

IEEE Signal processing and communications Applications (SIU)

作者： Emrah Dönmez Mühendislik Fakültesi İnönü Üniversitesi Malatya Türkiye

ISBN: (数字)9781728172064

ISBN: (纸本)9781728172071

One of the main processes in in vivo maternal haploid breeding method which is widely used in hybrid maize breeding in recent years is the separation of haploid and diploid individuals. Although different approaches have been proposed to make this distinction, the R1-nj color marker is widely and successfully used. The R1-nj color marker allows the visual separation of haploid and diploid individuals during the seed period. Nowadays, this distinction is done manually, causing loss of time and labor as well as high error. In this study, an open access dataset consisting of 3,000 maize seed images was used. The deep features from the FC6, FC7 and FC8 fully connected layers of the AlexNet architecture are classified with the support vector machine. 10-fold cross-validation test was used to evaluate model performances. Experimental results showed that the best classification performance is possible with 89.50% accuracy using deep features obtained from the FC6 fully connected layer.

关键词： Support vector machines Kernel Mathematical model In vivo image color analysis Convolutional neural networks visualization

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A real-time multi-threaded system to detect patient motion in SPECT imaging using multiple optical cameras

A real-time multi-threaded system to detect patient motion i...

引用

IEEE Symposium on Nuclear Science (NSS/MIC)

作者： J.D. Morgenstern M.A. Gennert S. Nadella N. Kumar G.C. Speckert P.P. Bruyant M.A. King Internet Video & Imaging Uxbridge MA Worcester Polytechnic Institute Worcester MA USA Speck Technology Inc. USA SpeckTech Inc. University of Massachusetts Worcester MA USA University of Massachusetts Worcester MA

Patient motion, which causes artifacts in reconstructed images, can be a serious problem in SPECT imaging. If patient motion can be detected and quantified, the reconstruction algorithm can compensate for the motion. In previous work, we described a prototype system for tracking patient motion. In this paper, we present a real-time multithreaded visual tracking system (VTS) that will be suitable for deployment in clinical trials. The VTS tracks patients using multiple video images and image processing techniques, calculating patient motion in three-dimensional space. High performance is achieved by acquiring and processing images in parallel. Our system will incorporate up to five optical cameras monitoring the patient. Each camera is associated with a thread of control within the VTS. Thus, video images can be acquired asynchronously. As images are acquired, they are stored in buffers until needed. Another processing thread is responsible for requesting images from a specific time, and processing those images as a stereo set. The SPECT system operates in list mode. In this mode, all detected events are stored in a long list together with an event timestamp. Thus, it is possible to temporally register the time-stamped images with the detected activity in order to rebin the SPECT data to compensate for patient motion

关键词： Real time systems Motion detection Optical imaging Cameras Optical buffering Tracking Yarn Buffer storage image reconstruction Reconstruction algorithms

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image transmission over Gilbert-Elliot and ITU fading channels using DVB-T2 channel coding and QPSK-OFDM

Image transmission over Gilbert-Elliot and ITU fading channe...

引用

IEEE Signal processing and communications Applications (SIU)

作者： Edmond Nurellari Erhan A. İnce Electrical and Electronic Engineering Eastern Mediterranean University Turkey

In this work, a concatenated forward error correction (FEC) scheme together with Orthogonal Frequency Division Multiplexing (OFDM) have been used for effective transmission of data/images over additive and fading channels. With a Bose Chaudhuri Hocquenghem (BCH) code as the outer code and a Low Density Parity Check (LDPC) code as the inner code, the transmission has been simulated over both the Gilbert-Elliot and ITU Rayleigh fading channels. The FEC parameters assumed throughout the simulations were obtained from the DVB-T2 standard and the Base Band (BB) frames were created by making use of shortening and zero-padding concepts. The results which have been presented in terms of BER and psycho-visual performances show the resilience of the FEC schemes and OFDM to channel impairments. The BER performances attained over the Gilbert-Elliot Channel (a channel that introduces burst errors when in the bad state) using LDPC only and BCH-LDPC concatenated coding indicated that the outer BCH coding will start to achieve a much lower BER after an SNR of 5 dB. Over the ITU-A Rayleigh fading channel it was observed that the performance increment due to the outer BCH encoder only become apparent after 6 dB when compared to the rate ¼ LDPC only coded system BER performance. Over the Gilbert-Elliot channel a BCH-LDPC coded QPSK-OFDM system would provide a BER of 3×10 -4 at 6 dB while the same BER for the ITU Vehicular-A channel was possible at 6.6 dB.

关键词： Parity check codes Bit error rate Forward error correction Digital video broadcasting Fading Signal to noise ratio Channel coding

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1st International conference on Advanced Computing, Machine Learning, Robotics and Internet Technologies, AMRIT 2023

1st International Conference on Advanced Computing, Machine ...

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1st International conference on Advanced Computing, Machine Learning, Robotics and Internet Technologies, AMRIT 2023

ISBN: (纸本)9783031472206

The proceedings contain 46 papers. The special focus in this conference is on Advanced Computing, Machine Learning, Robotics and Internet Technologies. The topics include: Galactic Simulation: visual Perception of Anisotropic Dark Matter;Protocol Anomaly Detection in IIoT;Agricultural Informatics & ICT: The Foundation, Issues, Challenges and Possible Solutions—A Policy Work;a Guava Leaf Disease Identification Application;text to image Generation Using Attentional Generative Adversarial Network;attention-CoviNet: A Deep-Learning Approach to Classify Covid-19 Using Chest X-Rays;a Deep Learning Framework for Violence Detection in Videos Using Transfer Learning;multi-focus image Fusion Methods: A Review;cache Memory and On-Chip Cache Architecture: A Survey;authenticating Smartphone Users Continuously Even if the Smartphone is in the User’s Pocket;Comparative Analysis of Machine Learning Algorithms for COVID-19 Detection and Prediction;machine Learning Classifiers Explanations with Prototype Counterfactual;a Systematic Study of Super-Resolution Generative Adversarial Networks: Review;Stance Detection in Manipuri Editorial Article Using CRF;deep Learning Based Software Vulnerability Detection in Code Snippets and Tag Questions Using Convolutional Neural Networks;a Comprehensive Study of the Performances of Imbalanced Data Learning Methods with Different Optimization Techniques;Smart Parking System Using Arduino and IR Sensor;quMaDe: Quick Foreground Mask and Monocular Depth Data Generation;fine-Grained Air Quality with Deep Air Learning;enhancing Melanoma Skin Cancer Detection with Machine Learning and image processing Techniques;image processing Technique and SVM for Epizootic Ulcerative Syndrome Fish image Classification.

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