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Conference on sensors, Systems, and Next-Generation Satellites XIV

作者： Martin-Gonthier, P. Magnan, P. Corbiere, F. Rolando, S. Saint-Pe, O. de Boisanger, M. Breart Larnaudie, F. Univ Toulouse ISAE CIMI Integrated Image Sensor Lab 10 Ave E Belin F-31055 Toulouse France EADS ASTRIUM F-31402 Toulouse 4 France

ISBN: (纸本)9780819483430

Nowadays, CMOS image sensors are widely considered for space applications. The use of CIS (CMOS image sensor) processes has significantly enhanced their performances such as dark current, quantum efficiency and conversion gain. However, in order to fulfil specific space mission requirements, dedicated research and development work has to be performed to address specific detector performance issues. This is especially the case for dynamic range improvement through output voltage swing optimisation, control of conversion gain and noise reduction. These issues have been addressed in a 0.35 mu m CIS process, based on a large volume CMOS foundry, by several joint ISAE-EADS Astrium R&D programs. These results have been applied to the development of the visible and near-infrared multi-linear imager for the SENTINEL 2 mission (LEO Earth observation mission for the Global Measurement Environment and Security program). For this high performance multi-linear device, output voltage swing improvement is achieved by process optimisation done in collaboration with foundry. Conversion gain control is also achieved for each spectral band by managing photodiode capacitance. A low noise level at sensor output is reached by the use of an architecture allowing Correlated Double Sampling readout in order to eliminate reset noise (KTC noise). KTC noise elimination reveals noisy pixels due to RTS noise. Optimisation of transistors's dimensions, taking into account conversion gain constraints, is done to minimise these noisy pixels. Additional features have been also designed: 1) Due to different integration times between spectral bands required by mission, a specific readout mode was developed in order to avoid electrical perturbations during the integration time and readout. This readout mode leads to specific power supply architecture. 2) Post processing steps can be achieved by alignment marks design allowing a very good accuracy. These alignment marks can be used for a black coating de

关键词： CMOS image sensors Conversion gain RTS noise KTC noise Low noise Post-processing

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Online Video Synopsis Method through Simple Tube Projection Strategy 8

Online Video Synopsis Method through Simple Tube Projection ...

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8th International Conference on Wireless Communications and Signal Processing (WCSP)

作者： Jin, Jing Liu, Feng Gan, Zongliang Cui, Ziguan Nanjing Univ Posts & Telecommun Jiangsu Prov Key Lab Image Proc & Image Commun Nanjing 210003 Jiangsu Peoples R China Nanjing Univ Posts & Telecommun Minist Educ Key Lab Broadband Wireless Commun & Sensor Networ Nanjing 210003 Jiangsu Peoples R China

ISBN: (纸本)9781509028603

Traditional video synopsis methods model the processing into an optimization formula where relations among objects such as collision cost are utilized while entire re-calculation is introduced under each possible temporal shift. Unlike the pairwise cost optimization, we propose a low-complexity and efficient online synopsis method where each tube is processed independently. Without tubes' comparison, the rearrangement is accomplished by a simple projection strategy and an updating projection matrix which records the newest information of the moving space. Furthermore, buffer and a predefined fitness condition also help to increase spatial and temporal utilization. Experiment results demonstrate that the proposed method is superior to other synopsis methods in the processing speed and temporal consistency.

关键词： video synopsis projection matrix buffer collision

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Vehicle Type Classification via Adaptive Feature Clustering for Traffic Surveillance Video 8

Vehicle Type Classification via Adaptive Feature Clustering ...

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8th International Conference on Wireless Communications and Signal Processing (WCSP)

作者： Wang, Shu Liu, Feng Gan, Zongliang Cui, Ziguan Nanjing Univ Posts & Telecommun Jiangsu Prov Key Lab Image Proc & Image Commun Nanjing 210003 Jiangsu Peoples R China Nanjing Univ Posts & Telecommun Minist Educ Key Lab Broadband Wireless Commun & Sensor Networ Nanjing 210003 Jiangsu Peoples R China

ISBN: (纸本)9781509028603

Vehicle type classification has become an important part of intelligent traffic. However traditional methods can not deal with the varying situations in the reality. In this paper, a novel method is proposed to handle this task in the real road traffic surveillance video. In order to distinguish different vehicles, we categorize vehicles into three types: compact cars, mid-size cars, and heavy-duty vehicles. For a certain video, our method has four steps. First, a deep convolutional neural network is used to detect vehicles in the candidate region and a data set would be generated. Second, the main features of vehicles can be extracted using a fully-connected network. Also, for the sake of higher accuracy, weak labels given by pre-trained extreme learning machine (ELM) are fused into the final features, adding prior information proportionally. Third, K-means is implemented to learn three vehicle-type cluster centers adaptively. Finally, vehicle type will be recognized according to the closest distance principal. Experimental results show that the recognition rate outperforms other traditional methods, verifying the feasibility and effectiveness of the proposed method.

关键词： vehicle type classification adaptive clustering feature learning deep learning extreme learning machine

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Enhancement of Color image Based on Tone-Preserving 8

Enhancement of Color Image Based on Tone-Preserving

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8th International Conference on Wireless Communications and Signal Processing (WCSP)

作者： Yang, Ya'nan Wang, Xiaofan Liu, Feng Gan, Zongliang Nanjing Univ Posts & Telecommun Jiangsu Prov Key Lab Image Proc & Image Commun Nanjing 210003 Jiangsu Peoples R China Nanjing Univ Posts & Telecommun Minist Educ Key Lab Broadband Wireless Commun & Sensor Networ Nanjing 210003 Jiangsu Peoples R China

ISBN: (纸本)9781509028603

Since the lighting conditions in strong contrast regions between the light and dark cant be estimated accurately by traditional center/surround Retinex algorithm, the over-enhancement and color distortion may exist. In view of this, combining with the human visual characteristics, a color image enhancement algorithm based on tone-preserving was proposed. A determination function was added to the bilateral filter to estimate illuminance image more accurately and weaken over-enhancement. According to human visual masking effect, the improved gamma correction was utilized to correct the brightness of illumination image adaptively and the local contrast of reflection image obtained by division was enhanced based on local statistics. Besides, the final enhanced image was obtained by combining illumination image with reflection image, which can make image appear more natural. Compared with other similar algorithms from both subjective and objective aspects, the results show that this method being applied to low-contrast color image enhancement can not only improve image clarity, but reduce color distortion.

关键词： Retinex tone-preserving bilateral filter masking effect local contrast

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Efficient Rate Control Algorithm for Multi-view Video Coding

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China Communications 2011年第3期8卷 83-89页

作者：刘峰熊婕范晶晶林琼洁 Image Processing & Image Communication Key Lab of Jiangsu Province Nanjing University of Posts and Telecommunications Key Lab of Broadband Wireless Communication and Sensor Network Technology(Nanjing University of Posts and Telecommunications) Ministry of Education

Rate control is one of the key factors influencing the multi-view video ***,there is not a rate control algorithm in the existing Joint Multi-view Video Coding *** this paper,an efficient rate control algorithm and a bit allocation strategy for multi-view video coding are *** order to obtain the consistent view quality,a bit allocation model based on the Lagrange optimum algorithm is firstly ***,considering the encoding statistical characteristics of different view types,a view weighting factor is introduced,and it will help improve the precision of bit allocation among *** with the fixed QP control strategy,experiment results show that the proposed algorithm can efficiently control the bit rate and obtain more consistent views,with video visual quality improved.

关键词： rate control rate distortion bit allocation view weighting factor

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Growth of GaN nanorods via Au catalyst-assisted CVD

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CHEMICAL VAPOR DEPOSITION 2005年第10期11卷 433-436页

作者： Yu, Z Yang, ZM Wang, S Jin, Y Liu, G Gong, M Sun, XS Sichuan Univ Dept Mat Sci Chengdu 610064 Sichuan Peoples R China Sichuan Univ Key Lab Microelect & Technol Chengdu 610064 Sichuan Peoples R China Optoelect Res Inst Natl Key Lab CCD Image Sensor Chongqing 400060 Peoples R China

The growth of self-assembled, crystalline GaN nanorods was achieved by evaporating Ga in an atmosphere of NH3 at high temperature and under ambient pressure on Au-coated Si substrates via CVD. The structure and morphology of GaN nanorods were studied by means of X-ray diffraction (XRD), transmission electron microscopy (TEM), and scanning electron microscopy (SEM). It is found that GaN nanorods are of a perfect hexagonal wurtzite structure. SEM images have shown that the typical diameter and length of GaN nanorods are similar to 10-80 nm and similar to 2-3 mu m, respectively. A particular feature is that each nanorod was capped with a nanoparticle at its very end, by which the diameter of the nanorod was confined. The growth mechanism of GaN nanorods has been discussed with respect to the vapor-liquid-solid (VLS) mechanism. This work opens up new approaches to prepare GaN nanorods and to use GaN nanorods for optoelectronic applications.

关键词： catalyst GaN nanorods VLS

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Sentiment Recognition for Short Annotated GIFs Using Visual-Textual Fusion

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IEEE TRANSACTIONS ON MULTIMEDIA 2020年第4期22卷 1098-1110页

作者： Liu, Tianliang Wan, Junwei Dai, Xiubin Liu, Feng You, Quanzeng Luo, Jiebo Nanjing Univ Posts & Telecommun Key Lab Broadband Wireless Commun & Sensor Networ Jiangsu Prov Key Lab Image Proc & Image CommunNa Minist EducJiangsu Prov Engn Res Ctr High Perfor Nanjing 210003 Peoples R China Microsoft Cloud A1 Comp Vis Team Redmond WA 98052 USA Univ Rochester Dept Comp Sci Rochester NY 14627 USA

With the rapid development of social media, visual sentiment analysis from image or video has become a hot spot in visual understanding researches. In this work, we propose an effective approach using visual and textual fusion for sentiment analysis of short GIF videos with textual descriptions. We extract both sequence-level and frame-level visual features for each given GIF video. Next, we build a visual sentiment classifier by using the extracted features. We also define a mapping function, which converts the sentiment probability from the classifier to a sentiment score used in our fusion function. At the same time, for the accompanied textual annotations, we employ the Synset forest to extract the sets of the meaningful sentiment words and utilize the SentiWordNet3.0 model to obtain the textual sentiment score. Then, we design a joint visual-textual sentiment score function weighted with visual sentiment component and textual sentiment one. To make the function more robust, we introduce a noticeable difference threshold to further process the fused sentiment score. Finally, we adopt a grid search technique to obtain relevant model hyper-parameters by optimizing a sentiment aware score function. Experimental results and analysis extensively demonstrate the effectiveness of the proposed sentiment recognition scheme on three benchmark datasets including T-GIF dataset, GSO-2016 dataset and Adjusted-GIFGIF dataset.

关键词： Sentiment analysis Visualization Feature extraction Streaming media Semantics Twitter GIFs Sentiment 3-D Convolution Convolutional Long-Short-Term-Memory SentiWordNet3 0 Grid Searching

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Effect on MIM structured parallel quenching capacitor of SiPMs

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NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT 2011年第1期650卷 125-128页

作者： Lee, Chaehun Sul, Woo Suk Kim, Hyoungtaek Kim, Chankyu Cho, Gyuseong Korea Adv Inst Sci & Technol Dept Nucl & Quantum Engn Radiat Detect & Med Image Sensor Lab Taejon 305701 South Korea Natl NanoFab Ctr Taejon 305806 South Korea

A SiPM is an array of several thousand micro-Geiger-mode APDs (GAPD), and a GAPD generally consists of a PN diode (C(d)), a quenching resistor (R(q)) and any parasitic capacitor (C(q)) in parallel to the quenching resistor. The single-photon pulse shape is determined by a RC decay time, a product of C(total) (C(d)+C(q)) and R(q). A large fraction of current in the long tailed single-photon pulse shape causes Scintillation detectors with SiPM to exhibit a poor timing resolution compared to PMTs, which have very narrow Gaussian single-photon pulse shape. In this paper, a similar to 40fF Metal-Insulator-Metal (MIM) quenching capacitor (C(q-MIM)) parallel to a quenching resistor in a Geiger mode APD is proposed to modify the single-photon pulse shape of a SiPM, in order to improve the timing performance of PET detectors. A single-photon pulse shape with C(q-MIM) has a very fast pulse with a low slow tail, consequently the increasing initial current. (C) 2010 Elsevier B.V. All rights reserved.

关键词： Silicon photomultiplier Single-photon pulse shape Quenching capacitor Metal-insulator-metal capacitor Time of flight PET (TOF-PET)

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Multimodal Video Emotional Analysis of Time Features Alignment and Information Auxiliary Learning

Multimodal Video Emotional Analysis of Time Features Alignme...

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International Joint Conference on Neural Networks (IJCNN)

作者： Chang, Yujie Liu, Tianliang Xu, Qinchao Zhao, Xinyu Xiao, Xun Wang, Zhengjie Nanjing Univ Posts & Telecommun Nanjing Peoples R China Minist Educ Jiangsu Prov Key Lab Image Proc & Image Commun Key Lab Broadband Wireless Commun & Sensor Networ Beijing Peoples R China Jiangsu Prov Engn Res Ctr High Performance Comp & Nanjing Peoples R China

ISBN: (纸本)9781665488679

With the rapid growth of various images and video data on the network platform, multimodal emotional analysis and recognition have become an increasingly popular research field. Inspired by the human emotional judgment and cross information between different characteristics, this paper proposed a multimodal video emotional analysis network of time features alignment and information auxiliary learning(METI). This network not only fully consider the time alignment between modals to obtain the preliminary information but also pay attention to the auxiliary information in the video and make emotional judgments. METI network is mainly composed of the following three parts: Time alignment network pays attention to time alignment information between different modes;Prepose feedback module uses the auxiliary information in the video to simulate the emotional judgment process;Multimodal gate control module pays attention to the emotional correlation of the context. The comparison of experimental results shows that the performance of the METI model on the dataset exceeds the current most advanced emotional analysis model. At the same time, it has been proved from ablation experiments that the modules and methods proposed in this paper can improve the accuracy of emotion recognition by nearly 4%, and has been respectively proved in the seven classification experiment of emotions and three classification experiment of sentiment.

关键词： sentiment analysis modal fusion time alignment information auxiliary learning

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TrackSort: Predictive Tracking for Sorting Uncooperative Bulk Materials

TrackSort: Predictive Tracking for Sorting Uncooperative Bul...

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IEEE International Conference on Multisensor Fusion and lntegration for Intelligent Systems (MFI)

作者： Pfaff, Florian Baum, Marcus Noack, Benjamin Hanebeck, Uwe D. Gruna, Robin Laengle, Thomas Beyerer, Jurgen Karlsruhe Inst Technol Inst Anthropomat & Robot Intelligent Sensor Actuator Syst Lab ISAS D-76021 Karlsruhe Germany Fraunhofer Inst Optron Syst Technol & Image Explo Berlin Germany

ISBN: (纸本)9781479977727

Optical belt sorters are a versatile, state-of-theart technology to sort bulk materials that are hard to sort based on only nonvisual properties. In this paper, we propose an extension to current optical belt sorters that involves replacing the line camera with an area camera to observe a wider field of view, allowing us to observe each particle over multiple time steps. By performing multitarget tracking, we are able to improve the prediction of each particle's movement and thus enhance the performance of the utilized separation mechanism. We show that our approach will allow belt sorters to handle new classes of bulk materials while improving cost efficiency. Furthermore, we lay out additional extensions that are made possible by our new paradigm.

关键词： belts cameras materials handling equipment object tracking sorting area camera line camera multitarget tracking optical belt sorters particle movement separation mechanism uncooperative bulk material sorting Atmospheric measurements Belts Cameras Particle measurements Predictive models Sorting Tracking

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