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Web-based design for medical image database

Web-based design for medical image database

引用

International conference on Control, Automation, Robotics and Vision (ICARCV)

作者： C.C. Lozano D. Kusmanto O. Chutatape School of Electrical and Electronic Engineering Nanyang Technological University Singapore

Existing medical image acquisition, storage, retrieval, and diagnosis procedure currently practiced in clinics or hospitals can be further enhanced by incorporating the ever increasingly powerful Internet technologies. In this paper, a concept of online database for remote access to medical image database is presented along with the design methodologies and system implementation based on eye images. the online database supports basic operation of storage and retrieval of eye images through the web and additionally utilizes the Internet platform to provide wider access, more information coverage, and more reliable image data storage and retrieval at lower cost.

关键词： Biomedical imaging image databases image storage Medical diagnostic imaging image retrieval Internet Information retrieval Hospitals Design methodology Memory

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Proceedings of the 2015 7th International conference on Electronics, Computers and Artificial Intelligence, ECAI 2015

Proceedings of the 2015 7th International Conference on Elec...

引用

7th International conference on Electronics, Computers and Artificial Intelligence, ECAI 2015

ISBN: (纸本)9781467366465

the proceedings contain 129 papers. the topics discussed include: on the responses of social networks' to external events;the influence of satellite transponder broadcasting plan on video quality;development of a prototype ArcGIS- web- based decision application WATERDSS: for water pollution management;advances in diagnosis of electrical machines through external magnetic field;privacy profiling impact of Android mobile applications;improving storage capacity by distributed exact deduplication systems;small farm complex irrigation controller based on wireless communication;cloud computing and management processes;on the spatial and multi-frequency airborne ultrasonic image fusion;advanced HPC methods for large-scale sensitivity analysis;FPGA autonomous logic analyzer using innovative BERC filter optimization;an improved neural approach of Sammon projection algorithm;and on the generation of airborne multi-frequency ultrasonic images with biomimetic sonar head.

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A relevance feedback approach to video genre retrieval

A relevance feedback approach to video genre retrieval

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IEEE International conference on Intelligent Computer Communication and Processing (ICCP)

作者： Ionuţ Mironică Constantin Vertan Bogdan Ionescu LAPI University Politehnica of Bucharest Romania LISTIC Université de Savoie France

Content-based retrieval in video databases has become an important task with the availability of large quantities of data in both public and proprietary archives. Most of video systems are based on feature classification, but problems appear because of “semantic gap” between high-level human concepts and the machine-readable low-level visual features. In this paper we adopt a relevance feedback approach (RF) to bridge the semantic gap by progressively collecting feedback from the user, which allows the machine to discover the semantic meanings of objects or events. Experimental tests conducted on more than 91 hours of video footage show an improvement of up to 90% in retrieval accuracy, compared to classic classification-based retrieval.

关键词： image color analysis Radio frequency Support vector machines Motion pictures databases Semantics Clustering algorithms

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Dimensionality reduction of tree structured wavelet transform texture features for content based image retrieval

Dimensionality reduction of tree structured wavelet transfor...

引用

International conference on Control, Automation, Robotics and Vision (ICARCV)

作者： M. Kokare B.N. Chatterji P.K. Biswas Electronics and Electrical Communication Engineering Department Indian Institute of Technology Kharagpur India

Dimensionality reduction methods are of interest in applications such as content-based image and video retrieval. the focus of this paper is on the dimensionality reduction of feature vectors of tree structured wavelet decomposition for improving the retrieval speed. We have investigated a novel idea of reduction of feature dimension by concatenating the inter scale approximate coefficients and intra scale detail coefficient of each individual channel. the results are quite impressive; in an experiment using Brodatz texture database, feature vector length is reduced by a factor of three, which doubles retrieval speed without significantly reducing retrieval performance.

关键词： Wavelet transforms image retrieval Content based retrieval Indexing image databases Spatial databases Information retrieval Multidimensional systems Data structures Histograms

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Continuous Archiving of Group Digital Photograph Collections with a MPEG-7 Based Crowd Sourcing Annotation Methodology

Continuous Archiving of Group Digital Photograph Collections...

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8th IS & T and Archiving conference

作者： Kuo, Pei-Jeng Cheng, Po-Yu Su, Wei-Chen Chen, Sheng-Chih Natl Chengchi Univ Dept Comp Sci Taipei 11623 Taiwan Natl Chengchi Univ Masters Program Digital Content & Technol Taipei Taiwan Natl Chengchi Univ Coll Commun Masters Program Digital Content & Technol Taipei Taiwan

ISBN: (纸本)9780892082940

Following the increased convenience and availability of personal recording devices, the number of photographs and video clips one possesses can be multiplied at an accelerated speed. As a result of owning such a huge amount of digital data, one may encounter the difficulty of locating a specific photograph or video. Reformatting of the computer system or damaging on the hard disk also cause a potential risk of losing valuable personal data. Kuo, Aoki and Yasuda proposed an experiment personal archiving and retrieving image system called PARIS (Personal Archiving and Retrieving image System) [2] In PARIS, A MPEG-7 based multimedia description schema with extended spatial and temporal attributes is proposed to annotate personal multimedia data. While PARIS, the proposed experiment system, is designed and implemented specially towards the trend of continuous capture and storage for personal experience;it did not manage to utilize annotations that might come from recent emerging social networking enabled services. As a continuing project of PARIS, we initiated an experiment platform with thirty smart phone users. At the first stage, which last around six months, we encourage users to capture life events with smart phone cameras and to accumulate related photographs and video clips into our experiment database. In addition, we plan to extend this experiment with another 60 participants, which equipped with personal recording devices such as consumer digital cameras or digital video cameras in the near future. In this experiment database, we encourage users to upload their media files and provide related annotations. While we provide annotation options with previous. proposed MPEG-7 based multimedia description schema, the new system generates annotation suggestions semi-automatically according to various on-line photograph-hosting services. Known as social-tagging, our proposed system allows users and visitors to create tags based on our previous proposed MPEG-7 structur

关键词： Social-Tagging Information retrieval MPEG-7 Crowdsourcing

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Digital image recording: An integral aspect of video endoscopy

Digital image recording: An integral aspect of video endosco...

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7th conference on Medicine Meets Virtual Reality, MMVR 1999

作者： Preminger, Glenn M. Delvecchio, Fernando C. Birnbach, Jeffrey M. Comprehensive Kidney Stone Center Department of Surgery Duke University Medical Center DUMC Box 3167 Durham NC 27710 United States PhysiTel Incorporated 1500 Marina Bay Drive #1560 Clear Lake Shores TX 77565 United States

ISBN: (纸本)9051994451

In today's medical environment, efficiency and accuracy are the keys to successful outcomes. this concept is especially applicable during video endoscopic imaging, where image clarity is of utmost importance for medical applications. One of the most exciting advances in video endoscopy is the development of digital image storage devices. We report on a fast and efficient way to grab and store images during endoscopic procedures. images can be stored on standard 3.5″ floppy disks using an innovative new digital image recorder. the images are stored as high resolution JPEG files (640×480×24) for excellent clarity and detail. Once loaded onto the computer or network, the images can be placed into electronic medical records, imported into internet web pages, incorporated into slide presentations, and most importantly, stored in well organized archives which take up a minimum of space and are easily accessed by multiple users. this digital image recorder provides a complete system for acquiring images on a standard format 3.5″ floppy disk - the world's most ubiquitous storage format.

关键词： Floppy disk storage

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Evaluation of motion compensation and coding strategies for compression of depth map sequences

Evaluation of motion compensation and coding strategies for ...

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7th conference on Mathematics of Data/image Coding, Compression, and Encryption

作者： Grewatsch, S Müller, E Univ Rostock Inst Commun engn D-18119 Rostock Germany

ISBN: (纸本)0819454990

Current investigations in the area of 3D video systems are based on depth map sequences. they are used to obtain the compatibility to conventional 2D video systems. Instead of transmitting or storing two video sequences for each eye, 2D video and the appropriate depth information is delivered. If the viewer owns a standard TV set only the 2D video is displayed. In the case of using a stereoscopic display or shutter glasses a second virtual view is synthesized based on depth information. Because of limited storage and bandwidth, data compression has to be used. In this paper several approaches for compression of depth sequences, applicable for 3D video systems, are investigated and evaluated. For temporal prediction established video compression standards perform a block based motion compensation and encode the prediction residuals for every block separately. Alternatively, motion compensation methods using control grid interpolation and coding algorithms based on wavelet transform are applicable. Another possible approach is given by a mesh-based interpolation of the depth scene content. In that case the temporal prediction can be obtained by node tracking. We demonstrate the coding performance of these alternative methods for compressing depth map sequences in comparison with the video compression standards MPEG-2, MPEG-4 and H.264.

关键词： 3D video depth maps motion compensation coding

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Statistical Methods for Data Mining and Knowledge Discovery

Statistical Methods for Data Mining and Knowledge Discovery

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8th International conference on Formal Concept Analysis

作者： Vaillancourt, Jean UQO Gatineau QC J8X 3X7 Canada

ISBN: (纸本)9783642119279

this survey paper aims mainly at giving computer scientists a rapid bird's eye view, from a mathematician's perspective, of the main statistical methods used in order to extract knowledge from databases comprising various types of observations. After touching briefly upon the matters of supervision, data regularization and a brief review of the main models, the key issues of model assessment, selection and inference are perused. Finally, specific statistical problems arising from applications around data mining and warehousing are explored. Examples and applications are chosen mainly from the vast collection of image and video retrieval, indexation and classification challenges facing us today. © Springer-Verlag Berlin Heidelberg 2010.

关键词： Statistical methods

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Real time storage and simultaneous retrieval for surveillance and patrol video

Real time storage and simultaneous retrieval for surveillanc...

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IEEE International conference on Multimedia and Expo (ICME)

作者： F. Tsutsumi Communication and Information Research Laboratory Central Research Institute of Electric Power Industry Komae Tokyo Japan

this paper proposes a real time storage and simultaneous retrieval tool that can be used to access a video database to capture and index all the images which the video camera records. Using this tool we can register video streams on the spot. Surveillance and patrol of the electric power industry can in this way be aided effectively. Our tool has two main features: (1) automatic segmentation of video streams containing irregular transitions, and (2) rapid indexing of segmented video scenes using local color patterns. Our prototype tool can segment, index and retrieve video streams at 5 frames/s.

关键词： Surveillance Streaming media image storage Information retrieval image retrieval image databases Spatial databases Indexes Cameras image segmentation

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An End-to-End Fast No-Reference video Quality Predictor with Spatiotemporal Feature Fusion 7th

An End-to-End Fast No-Reference Video Quality Predictor with...

引用

7th International conference on Computer Vision and image Processing, CVIP 2022

作者： Vishwakarma, Anish Kumar Bhurchandi, Kishor M. Vivesvaraya National Institute of Technology Nagpur India

ISBN: (纸本)9783031314162

this work proposes a reliable and efficient end-to-end No-Reference video Quality Assessment (NR-VQA) model that fuses deep spatial and temporal features. Since both spatial (semantic) and temporal (motion) features have a significant impact on video quality, we have developed an effective and fast predictor of video quality by combining both. ResNet-50, a well-known pre-trained image classification model, is employed to extract semantic features from video frames, whereas I3D, a well-known pre-trained action recognition model, is used to compute spatiotemporal features from short video clips. Further, extracted features are passed through a regressor head that consists of a Gated Recurrent Unit (GRU) followed by a Fully Connected (FC) layer. Four popular and widely used authentic distortion databases LIVE-VQC, KoNViD-1k, LIVE-Qualcomm, and CVD2014, are utilized for validating the performance. the proposed model demonstrates competitive results with a considerably decreased computation complexity. © the Author(s), under exclusive license to Springer Nature Switzerland AG 2023.

关键词： Convolutional neural networks

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