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Full-Reference image/video Quality Assessment Algorithms Based on Contrastive Principal Component Analysis 7

Full-Reference Image/Video Quality Assessment Algorithms Bas...

引用

7th International conference on image, Vision and Computing, ICIVC 2022

作者： Xiao, Junfeng Zhang, Di Beijing University of Posts and Telecommunications Beijing China Communication University of China Beijing China

ISBN: (数字)9781665467346

ISBN: (纸本)9781665467346

With the rapid development of communication network, a large number of high resolution and high quality images and videos are transmitted in communication network. At the same time, the explosive growth of image and video content requires efficient management of image and video collection, compression, storage and transmission processes. However, during these processes, images and videos can be distorted, resulting in a decrease in perceived quality. therefore, it is necessary to put forward an efficient and reliable image/video quality assessment (I/VQA)method to guide the process of image and video processing. this paper presents a series of simple and effective Full-Reference I/VQA algorithms based on contrastive principal component analysis(CPCA). Firstly, the CPCA algorithm is used to extract the Contrastive principal components(CPCs) from the reference image and the distorted image, and the features are calculated. then, BP neural network is trained to make the features fit the image's mean Opinion Score (MOS) or Difference Mean Opinion Score (DMOS). Finally, it is extended to VQA through different temporal pooling and temporal feature extraction. the proposed algorithms perform well on three image quality assessment datasets and two video quality assessment datasets, and in particular, beats all competitors on MCL-V. © 2022 IEEE.

关键词： Principal component analysis

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Cyclic sequence comparison using dynamic warping

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4th International conference on image and video retrieval (CIVR)

作者： Arica, N Turkish Naval Acad Dept Comp Engn TR-34942 Istanbul Turkey

ISBN: (纸本)3540278583

In this study, we propose a new dynamic warping algorithm for cyclic sequence comparison, which approximate the optimal solution efficiently. the comparison of two sequences, whose starting points are known, is performed by finding the optimal correspondence between their elements, which minimize the distance. If the sequences are cyclic and their starting points are not known, the alignment computation must determine the amount of cyclic shift for the optimal solution. However, this process increases the complexity of the algorithm and may be cumbersome especially for large databases. Instead of finding the optimal solution, the proposed algorithm finds the approximate distance at once and decreases the time complexity substantially. the algorithm is tested in boundary based shape similarity problem. the experiments performed on MPEG-7 Shape database, show that the proposed method performs better than the classical cyclic string comparison methods in the literature and gives very similar results with the optimal solution.

关键词： image analysis

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Automatic image categorization using MPEG-7 description

Automatic image categorization using MPEG-7 description

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4th Internet Imaging conference

作者： Yang, SJ Yoon, JH Ro, YM ICU Image & Video Syst Lab Multimedia Grp Taejon 305732 South Korea

ISBN: (纸本)0819448184

We propose an automatic image categorization technique for content-based image filtering and retrieval system. In this paper, category-feature database for image categorization is constructed on human visual perception. Query images are automatically classified into predefined categories by content-based description using MPEG-7. Similarity distances at each category are measured using multiple MPEG-7 descriptors. In this paper, a matching technique for combining multiple similarity distances is proposed. the proposed method takes into account the categorization performance of single descriptor at each category. To evaluate the proposed method, it is applied to a great number of query images randomly collected from the Internet and other image databases.

关键词： category classification image categorization image clustering MPEG-7

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Efficient Feature Extraction for image Analysis through Adaptive Caching in Vector databases 7

Efficient Feature Extraction for Image Analysis through Adap...

引用

7th International conference on Information and Computer Technologies, ICICT 2024

作者： Monir, Solmaz Seyed Zhao, Dongfang University Of Washington United States

ISBN: (纸本)9798350385625

For popular machine learning (ML) models like MobileNetV3 and ResNet, the extraction and storage of image features serve as a critical step for both the training and inference stages. Unfortunately, the state-of-the-art ML systems exhibit a performance bottleneck on the extraction and storage of image features. To that end, this paper proposes a new caching subsystem that employs an in-memory vector database. the key idea is to preprocess images using MobileNetV3 and ResNet, extract features, and store them in an in-memory vector database instance, which is realized by a MySQL deployment on the RAM disk that is extended with similarity search. the implemented enhancements, including batch insertion and parallel processing using threadPoolExecutor, have yielded a notable 36.6% improvement in the execution time of MobileNetV3 image processing compared to the sequential approach. For ResNet, the execution time without caching was 15.46 seconds, and was reduced to 11.61 seconds with parallel processing, resulting in a notable improvement of 24.9%. © 2024 IEEE.

关键词： Vectors

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Simplified Structured Analysis Dictionary Learning for image Classification 7

Simplified Structured Analysis Dictionary Learning for Image...

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7th International conference on Computational Intelligence and Applications, ICCIA 2022

作者： Yang, Liu Dong, Jing Mei, Xue College of Electrical Engineering and Control Science Nanjing Tech University Nanjing China

ISBN: (纸本)9781665495844

In this paper, we focus on image classification based on dictionary learning. the structured analysis dictionary learning (SADL) algorithm introduces a mapping matrix to the representation coefficient matrix and imposes a structural constraint to enhance the capability of discrimination, and it achieves promising classification results. However, in the formulation of SADL, the discrimination of the model is mainly based on the transformed coefficient matrix rather than the original coefficients, and thus the sparsity of the original coefficients has little impact on classification. In addition, classification is based on a linear classifier learned simultaneously with the dictionary, which may also restrict the performance of the algorithm. To address these issues, we propose a simplified SADL (SSADL) algorithm by simplifying the original formulation of SADL and introducing a new classification approach based on support vector machine (SVM). Simulation results on widely used databases demonstrate that the proposed SSADL algorithm achieves better performance than several state-of-the-art classification algorithms based on dictionary learning. © 2022 IEEE.

关键词： image classification

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An efficient image retrieval through DC feature extraction

An efficient image retrieval through DC feature extraction

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4th IASTED International conference on Circuits, Signals, and Systems

作者： Irianto, Y. S. Jiang, J. Ipson, S. S. Univ Bradford Dept Elect Imaging & Media Commun Richmond Rd Bradford BD7 1DP W Yorkshire England

ISBN: (纸本)9780889866058

We propose a new simple method of DC feature extraction that enables to speed up and decrease storage needed in image retrieving process by aim of partial Joint Photographic Experts Group (JPEG) compressed images algorithm. Our feature extraction is carried out directly from JPEG compressed images. We extract one component of DCT coefficients which is DC component only. By applying DC feature, we only need 1/64 times that is required to construct indexing keys compared to conventional Euclidean distance method whilst maintaining high precision and recall. We also use a DCT coding category approach to compare our proposed method. After all, even though this method is not revolutionary and perfect yet in improving speed for image indexing, it reduces significantly the cost of image retrieval in real applications, primarily for huge image databases.

关键词： coding category DC extraction DCT indexing retrieval

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Mobile access to personal digital photograph archives 05

Mobile access to personal digital photograph archives

引用

7th International conference on Human Computer Interaction with Mobile Devices and Services, MobileHCI 05

作者： Gurrin, Cathal Jones, Gareth J. F. Lee, Hyowon O'Hare, Neil Smeaton, Alan F. Murphy, Noel Centre for Digital Video Processing Dublin City University Dublin Ireland Adaptive Information Cluster Dublin City University Dublin Ireland

ISBN: (纸本)1595930892

Handheld computing devices are becoming highly connected devices with high capacity storage. this has resulted in their being able to support storage of, and access to, personal photo archives. However the only means for mobile device users to browse such archives is typically a simple one-by-one scroll through image thumbnails in the order that they were taken, or by manually organising them based on folders. In this paper we describe a system for context-based browsing of personal digital photo archives. Photos are labeled with the GPS location and time they are taken and this is used to derive other context-based metadata such as weather conditions and daylight conditions. We present our prototype system for mobile digital photo retrieval, and an experimental evaluation illustrating the utility of location information for effective personal photo retrieval. Copyright 2005 ACM.

关键词： Location

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An Intelligent video Analysis System of Power Scene Anomaly Based on Convolutional Neural Network 7

An Intelligent Video Analysis System of Power Scene Anomaly ...

引用

7th International conference on Electrical, Mechanical and Computer Engineering, ICEMCE 2023

作者： Wan, Xuefeng Niu, Nana Duan, Jie Ma, Xin State Grid Shanxi Electric Power Company Information and Communication Branch Shanxi Taiyuan China

ISBN: (纸本)9798350382877

As a branch of computer image vision technology, video intelligent analysis has been widely used in the field of security, which plays an important role in operation monitoring, fault analysis, early warning automation and information processing in the power grid industry. In order to improve the low efficiency of the artificial patrol mode of the existing substation video surveillance system, this paper designs an intelligent video analysis system for power scene anomalies based on convolutional neural network. Firstly,the system architecture is analyzed. Secondly, the original surveillance video material is extracted. then, the video cloud storage platform is used for storage. At the same time, the hidden danger behaviors are classified and analyzed and marked. Finally, the proposed method is applied to feature extraction, model training and application analysis to realize video intelligent early warning analysis. Based on convolutional neural network algorithm, the video analysis ability is further improved, which greatly improves the quality and efficiency of substation video monitoring, and has a certain promotion prospect. © 2023 IEEE.

关键词： Feature extraction

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7th International conference on Similarity Search and Applications, SISAP 2014

7th International Conference on Similarity Search and Applic...

引用

7th International conference on Similarity Search and Applications, SISAP 2014

ISBN: (纸本)9783319119878

the proceedings contain 29 papers. the special focus in this conference is on technological problems shared by many application domains, such as data mining, information retrieval, computer vision, pattern recognition, computational biology, geography, biometrics and machine learning. the topics include: Efficient algorithms for similarity search in axis-aligned subspaces;partial refinement for similarity search with multiple features;video retrieval with feature signature sketches;metric space searching based on random bisectors and binary fingerprints;faster proximity searching with the distal SAT;a dynamic pivoting algorithm based on spatial approximation indexes;large-scale distributed locality-sensitive hashing for general metric data;dynamic list of clusters in secondary memory;index-based r-s similarity joins;a compressed index for hamming distances;perils of combining parallel distance computations with metric and Ptolemaic indexing in kNN queries;transition-sensitive distances;retrieval of binary features in image databases;the similarity-aware relational intersect database operator;high dimensional search using polyhedral query;generating synthetic data to allow learning from a single exemplar per class;similarity for natural semantic networks;anomaly detection in streaming time series based on bounding boxes;SVG-to-RDF image semantization;employing similarity methods for stellar spectra classification in astroinformatics;a similarity-based method for visual search in time series using Coulomb’s law;classification of epileptoid oscillations in EEG Using Shannon’s entropy amplitude probability distribution;entity recognition for duplicate filtering;a Bayesian ensemble classifier for source code authorship attribution;multi-core (CPU and GPU) for permutation-based indexing and an efficient DTW-based approach for melodic similarity in flamenco singing.

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A smart and effective method for digital video compression 7

A smart and effective method for digital video compression

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7th International conference on Sciences of Electronics, Technologies of Information and Telecommunications, SETIT 2016

作者： Al-Janabi, Samaher Al-Shourbaji, Ibrahim University of Babylon Iraq Computer Network Department Computer Science and Information System College University of Jazan Saudi Arabia

ISBN: (纸本)9781509047123

video compression techniques play a vital role in storage and transmission of data through the limited bandwidth capability. this study proposes a compression method that can obtain a highest compression ratio and high quality for video compression. the proposed method consists of five phases. In the First phase, the main frames from the digital video through opening the header of video are split using ASCII long function. the Second phase is to transform colors from RGB to YUV color space, which consist of two main components the luminance (Y) and the chrominance (UV). In the third phase, Discrete Cosine Transform (DCT) and Motion techniques are combined to generate the new method and to reduce the spatial and temporal redundancy. In the next phase, the DCT coefficients are coded using Embedded Zerotree Wavelet (EZW) algorithm. Finally, Run Length Encoding (RLE) technique is used to encode the symbols sequences. the proposed method splits movie file based on the skew measurements with a specific threshold determined by the EZW algorithm. the proposed method confirms that the EZW algorithm is effective compression algorithm. © 2016 IEEE.

关键词： image compression

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