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Content based image retrieval using category-based indexing

Content based image retrieval using category-based indexing

引用

IEEE international conference on Multimedia and Expo (ICME)

作者： A. Wardhani T. Thomson Queensland University of Technology Australia

Currently, most content based image retrieval (CBIR) systems operate on all images, without sorting images into different types or categories. Different images have different characteristics, and thus often require different analysis techniques and query types. Additionally, placing an image into a category can help the user to navigate retrieval results more effectively. To categorise an image, firstly the dominant region needs to be extracted using multi level colour segmentation. based on the region's features of colour, texture, shape and relation between regions, the image is then categorised. Users are presented with retrieval results sorted into different categories, where dominant region extraction allows object based retrieval to be performed

关键词： image retrieval Content based retrieval Indexing image segmentation Shape image analysis Humans Navigation internet Layout

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EEG signal Feature Extraction Using Principal Component Analysis and Power Spectral Entropy for Multiclass Emotion Prediction 4th

EEG Signal Feature Extraction Using Principal Component Anal...

引用

4th international conference on image Processing and Capsule Networks, ICIPCN 2023

作者： Babeetha, S. Sridhar, S.S. Department of Computing Technologies College of Engineering and Technology SRM Institute of Science and Technology Kattankulathur Campus Tamil Nadu Chengalpattu India

ISBN: (纸本)9789819970926

Emotion recognition in artificial intelligence is a challenging factor. Recent years have seen a rise in interest in emotion analysis based on EEG signals due to many factors, including the availability of huge EEG datasets, developments in Brain-Computer interface (BCI) devices, and discoveries in machine learning. Due to its high temporal precision, portability, and relatively low cost of data collection, EEG is a viable option for researching the brain correlates of numerous cognitive activities, including emotion. The user's capacity to generate these signals is indicative of how well their brain processes information across a variety of cognitive, emotional, and physical domains. Important feature values must be extracted from these raw signals, which is still an essential part of the deployment process. In order to better understand the brain's activity, this study explains how to use principal component analysis (PCA) and power spectral entropy (PSE) to extract characteristics from an EEG signal. In this analysis, we evaluate how well-known classification algorithms fare when used on the recovered features: the support vector machine (SVM), the K-nearest neighbors (KNN), and the Naive Bayes (NB) classifier. All of the simulations were carried out in MATLAB using a HEADIT dataset. The results reveal that the suggested classifiers outperform the standard method in predicting emotional states. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Principal component analysis

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Learning from user feedback for image retrieval

Learning from user feedback for image retrieval

引用

international conference on Information, Communications and signal Processing

作者： Jing Xin J.S. Jin School of Computer Science and Engineering University of New South Wales Australia School of Information Technologies University of Sydney Australia

ISBN: (纸本)0780381858

Relevance feedback technique has been one of the most active research areas in the field of content-based image retrieval. In this paper, we use Gaussian mixture model to represent the user's target distribution, which can further narrow down the gap between high-level semantic and low-level features. Furthermore, we present a novel approach to estimate the distribution parameters based on the expectation maximization algorithm. Because current image retrieval systems are incapable of capturing user's inconsistent intentions, we propose a framework to resolve user's conflict feedback. Experimental results show that our system can gradually improve its retrieval performance through accumulated user interactions.

关键词： Feedback image retrieval Content based retrieval image databases Information retrieval image analysis Humans Computer science Information technology Parameter estimation

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Power IoT System Security Monitoring based On Power Consumption Side Channel Information

Power IoT System Security Monitoring Based On Power Consumpt...

引用

Electronics and Electrical Engineering technology (EEET), international conference on

作者： Jiachang Wen Chen Yan Xiaoyu Ji Wenyuan Xu ZheJiang University HangZhou City China

With the widespread use of new technologies such as mobile internet, cloud computing, and internet of Things in power systems, the number of terminal devices in power systems has increased dramatically, and the ensuing security vulnerabilities have increased, making terminal devices increasingly vulnerable to cyber attacks such as ransomware viruses. In this paper, we focus on the security of terminal devices in power systems and realize security monitoring of power terminals by collecting power consumption side channel information of power terminal devices in normal and abnormal states, using training device abnormality identification models using supervised learning algorithms with some time-domain frequency-domain feature information of power consumption as power consumption features of the devices.

关键词： Training Power demand Computer viruses image edge detection Power systems Security Ransomware

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Morton (Z) scan based real-time variable resolution CMOS image sensor

Morton (Z) scan based real-time variable resolution CMOS ima...

引用

IEEE international conference on Electronics, Circuits and systems (ICECS)

作者： E. Artyomov Y. Rivenson G. Levi O. Yadid-Pecht The VLSI Systems Center Ben-Gurion University of the Negev Beersheba Israel

An image sensor architecture with an alternative image scan method, based on Morton (Z) order, is presented. This scan, compared to the conventional row (raster) scan, enables faster and efficient mean (average) computation of square image blocks. Digital averaging is used and the pixel data is read out with either the original resolution, a 2/spl times/2 or a 4/spl times/4 block averaging. A test chip of 128/spl times/128 array has been implemented in 0.35 /spl mu/m CMOS technology, has 15% fill factor, is operated by a 3.3V supply and dissipates 30mW at video rate.

关键词： image resolution CMOS image sensors image sensors Pixel Spatial resolution Computer architecture Capacitors Sensor arrays CMOS technology signal resolution

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Design and implementation of algorithm for video compression

Design and implementation of algorithm for video compression

引用

international conference on Information Communication and Embedded systems (ICICES)

作者： Megha S. Gaoture Trupti H. Nagrare Department of Electronics engineering G.H.R.C.E(Autonomous) Nagpur India Department of Information Technology G.H.R.C.E(Autonomous) Nagpur India

Nowadays, Video Compression has gaining important because of its application in different field like internet. So, there is different algorithm used to achieve the compression of Video. Video Compression algorithms combine Spatial image compression and Temporal motion compression. The sequence of frames contains Spatial and Temporal redundancies that Video Compression algorithms attempt to eliminate or code in smaller size. In this paper, We present a design of Binary motion vector technique with Pruning Discrete Wavelet Transform for the compression of AVI video. Here, Binary motion vector technique used for searching the Best matching block. This technique requires less candidates block than other motion vector technique. Pruning based DWT uses thresholding which will enhance the compression ratio with desirable Peak signal to Noise ratio. This algorithm will be going to simulate on XilinxISE13.1 and implement on SPARTEN3 FPGA.

关键词： Discrete wavelet transforms image coding Algorithm design and analysis Motion estimation Video compression Vectors

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Interactive Object Extraction from a Video based on Seed-Line Tracking

Interactive Object Extraction from a Video Based on Seed-Lin...

引用

international conference on Multimedia systems and signal Processing (ICMSSP)

作者： Takahiro Hayashi Yusuke Narita Institute of Science and Technology Niigata University Niigata Japan

ISBN: (纸本)9781509045204

This paper presents a method for extracting a non-rigid moving object from a video sequence. In order to actualize object extraction with minimal user interaction, we combine alpha matting and seed-line tracking. In the proposed method, the object region is separated from background based on seed lines given by user as a cue, and then the seed lines are automatically tracked to the next frames to actualize automatic object extraction from the frame sequence. With the alpha matting, the boundary of the object region in each frame is refined. The experimental results have shown that by the seed-line tracking user input can be significantly reduced and that the boundary refinement by alpha matting works effectively.

关键词： image color analysis Three-dimensional displays image segmentation Tracking Video sequences Solid modeling Robustness

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image Processing based Analysis of Cracks on Vertical Walls

Image Processing Based Analysis of Cracks on Vertical Walls

引用

international conference on internet of Things: Smart Innovation and Usages (IoT-SIU)

作者： Jayneel Vora Maitree Patel Sudeep Tanwar Sudhanshu Tyagi Department of Computer Engineering Institute of Technology Nirma University Ahmedabad Gujarat India ThaparInstitute of Engineering & Technology Deemed University Patiala (Pb.) India

ISBN: (纸本)9781538638330

Building defects are a regular occurring in constructions all over. There is a need to identify the type of defect present and accordingly take the necessary steps for correcting the defect. This paper focuses on the various construction defects that take place on different types of walling systems for buildings. A major problem is the lack of knowledge regarding the construction concepts in the residents of the building. The study undertook tackles this problem using image Processing and identifying various defects in an android app. This study is conducted on the walls of K-Block, Nirma University. The defects are observed and monitored through this study. The collected images are analysed and proper intimations can be pursued. based on the recordings, various types of building defects were identified and proper gradations were given. Work is under process to monitor a house in the Virtual World, and create a visualiser of degradation of the house over the years.

关键词： Estimation image edge detection Skeleton Buildings Gray-scale Degradation

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Design and Implementation of an IoT Prototype for the Detection of Carbon Monoxide

Design and Implementation of an IoT Prototype for the Detect...

引用

international conference on image and signal Processing and their Applications (ISPA)

作者： Sidi Mohammed Hadj Irid Mourad Hadjila Haroun Errachid Adardour Dept. of Telecommunication University of Tlemcen Tlemcen Algeria

ISBN: (纸本)9781728131573

Carbon monoxide brings great harms to people dailys life. In addition, it's a very toxic gas undetectable by humans, it occurs when a device burns a fuel such as gas, wood, oil and its derivatives, etc. and spreads very quickly inside the homes. This paper presents the design and implementation of IoT prototype for the detection of carbon monoxide based on the WeMos D1 mini board programmed by Arduino IDE software to prevent asphyxiation accidents. IoT technology gives us great capabilities for the development of Web applications that connect the real world to the digital world. In this prototype, we used the MQ-2 gas sensor for detection. When the gas concentration exceeds a first threshold, the system triggers the fan and if the detected value exceeds a second threshold greater than the first, it immediately alerts the users by sending alerts in the form of notifications via the Pushbullet platform.

关键词： Carbon monoxide internet of things Intoxication WeMos d1 MQ-2 Pushbullet PushingBox carbon monoxide internet of things Poisoning Gas sensors PROTOTYPE web applications warning

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Scalable image coder for mobile device

Scalable image coder for mobile device

引用

international conference on Information, Communications and signal Processing

作者： Yang Yang Ee-Leng Tan Woon-Seng Gan Yong-Kim Chong School of Electrical and Electronic Engineering Nanyang Technological University Singapore

ISBN: (纸本)9781424409822;1424409829

image compression methods provide users the option to reduce the size of image data and significant amount of time for transmission of images. A perceptually lossless coder is desired to generate perceptually high quality image with higher compression ratio. In this paper, a prototype of the scalable image coder based on the just noticeable distortion (JND) profile with subband discrete cosine transform (SBDCT) is built in the personal digital assistant (PDA). The coding scheme based on JND profile and SBDCT provides computational scalability, decodable by any current JPEG-compliance decoder and therefore permitting easy integration with any current JPEG- compliance image systems. To further evaluate this prototype, simulations in Pocket PC emulator and the actual implementation of the coder in PDA is carried out.

关键词： image coding image quality Discrete cosine transforms image storage Transform coding Space technology Prototypes Personal digital assistants Digital images Scalability

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