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An image retrieval using combined approach Wavelets and Local Binary Pattern 16

An Image Retrieval using combined approach Wavelets and Loca...

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1st International conference on Informatics and Analytics (ICIA)

作者： Desai, Padmashree Pujari, Jagadeesh Kinnikar, Anita BVB Coll Engn & Tech Hubli Karnataka India SDM Coll Engn & Tech Dharwad Karnataka India

ISBN: (纸本)9781450347563

With the invent of Internet and the availability of efficient image capturing devices such as image scanners, digital cameras and high capacity public networks, cheap storage;the volume of digital images is increasing exponentially. This created a need of image searching, retrieval and browsing tool for users from various domains including fashion, crime prevention, publishing, remote sensing, architecture, medicine etc. Content Based image retrieval (CBIR) provides a solution for above said issues. Content based image retrieval is the utilization of computer vision techniques to the issue of digital image searching in large databases. The basic principle is the representation of image as a feature vector and to measure the similarities between the query image and feature vectors of images in the database using image processing techniques. Determining correct features to represent the images and the similarity metric that groups visually similar images together are the two main milestones in construction of any CBIR system. In CBIR, the images are sorted/indexed based on visual features, such as color, texture, shape, motion, structure or combining above different features. Our proposed approach in content-based image retrieval (CBIR) uses the combination of low level features such as color, texture and shape as main feature to retrieve similar images. Color feature is extracted by transforming the color space from RGB model to HSV model, and then extracting color histogram to form color feature vector. Texture features are extracted by using Gray Level Co-occurrence Matrix (GLCM). Shape feature is extracted by combining features extracted from wavelet transformation and Local Binary Pattern (LBP). Performance of the proposed method is measured using precision-recall. Also its performance is compared with existing method. Results indicate that our combined approach is better than other methods.

关键词： CBIR image retrieval shape color texture LBP

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The Long Tail of Web video 24th

The Long Tail of Web Video

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24th International conference on MultiMedia Modeling (MMM)

作者： Rossetto, Luca Schuldt, Heiko Univ Basel Dept Math & Comp Sci Databases & Informat Syst Res Grp Basel Switzerland

ISBN: (纸本)9783319736006;9783319735993

Web video continues to gain importance not only in many areas of computer science but in society in general. With the growth in numbers, both of videos, viewers, and views, there arise several technical challenges. In order to address them effectively, the properties of Web video in general need to be known. There is however comparatively little analysis of these properties. In this paper, we present insights gained from the analysis of a data set containing the meta data of over 100 million videos from YouTube. We were able to confirm common wisdom about the relationship between video duration and user engagement and show the extreme long tail of the distribution of video views overall. Such data can be beneficial in making informed decisions regarding strategies for large scale video storage, delivery, processing and retrieval.

关键词： Digital storage

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Morphological approach to scene change detection and digital video storage and retrieval

Morphological approach to scene change detection and digital...

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Proceedings of the 1999 7th conference of the storage and retrieval for image and video databases Vii

作者： Kim, Woonkyung M. Song, S.Moon-Ho Kim, Hyeokman Song, Cheeyang Kwon, Byung Woong Kim, Sun Geun Korea Univ Seoul Korea Republic of

With the abstraction of digital video as the corresponding binary video- a process which upon numerous subjective experimentation seems to preserve (most of the) intelligibility of video content- we can pursue a precise and analytic approach to (digital video storage and retrieval) algorithm design that are based upon geometrical (morphological) intuition. The foremost and tangible general benefit of such abstraction, however, is the immediate reductions of both data and computational complexities involved in implementing various algorithms and databases. The general paradigm presented may be utilized to address all issues pertaining to video library construction including visualization, optimum feedback query generation, object recognition, e.t.c., but the primary focus of attention in this paper are the ones pertaining to detection of fast (including presence of flashlights) and gradual scene changes (such as dissolves, fades, and various special effects such as wipes). Upon simulation we observed that we can achieve performances comparable to those of others with drastic reductions in both storage and computational complexities. Furthermore, since the conversion from grayscale to binary videos can be performed directly (with minimal additional computation) in the compressed domain by thresholding on the DCT DC coefficients themselves (or by using the contour information attached to MPEG4 formats), the algorithms presented herein are ideally suited for performing fast (on-the-fly) determinations of scene change, object recognition and/or tracking, and other more intelligent tasks traditionally requiring heavy demand on computational and/or storage complexities. The fast determinations may then be used on their own merits or can be used in conjunction or complementation with other higher-layer information in the future.

关键词： video signal processing

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Automatic key-frame selection for content-based video indexing and access

Automatic key-frame selection for content-based video indexi...

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Proceedings of the 2000 'storage and retrieval for Media databases 2000'

作者： Toklu, Candemir Liou, Shih-Ping Siemens Corporate Research Inc Princeton United States

This paper addresses key-frame selection for content-based video indexing and access. The proposed key-frame selection method is aimed to operate in real-time irrespective of the available computation resources and memory. Hence, we provide three solutions to content-based key-frame selection with different costs, and suggest three operation levels. The suggested key-frame selection method has two major parts: (i) segmentation of the video into shots;(ii) analysis of the motion and color activity within each video shot to select additional frames. We also provide a new color based approach to key-frame selection and discuss how to fuse color and motion based key-frame selection results.

关键词： image recording

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image PROCESSING FOR INDEXING OF CINEANGIOGRAMS

IMAGE PROCESSING FOR INDEXING OF CINEANGIOGRAMS

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conference on image Processing - Medical Imaging 1995

作者： LIU, HCH ZICK, GL SHEEHAN, FH UNIV WASHINGTON SCH MEDDEPT ELECT ENGNSEATTLEWA 98195

ISBN: (纸本)0819417823

video is the primary media used for cardiology diagnosis. video data is currently stored on either cinefilm or videotape and provides no means of integration with other information such as patient's history, x-ray images, and test results. Maintaining and searching this data is also difficult. A multimedia database system would significantly enhance the diagnosis process by facilitating these integration, maintenance, and searching processes. One of the challenges in designing such a database is indexing the sequential video streams. The required storage space and the retrieval time to one specific video frame are two crucial issues in the design of a video database system. This paper presents two novel and fast image processing techniques for use in the selection of video frames. These selected frames can then be stored in the database. The first type of analysis is based on the analysis of spatial transitions and the second is based on the spectral components in the discrete cosine domain. The proposed techniques extract the length of the total edges in every frame of the cineangiogram. The extracted parameter is directly related to the amount of radio opaque dye injected in the coronary arteries. Those frames in the cineangiogram with a significant level of dye are then identified and indexed for evaluation. The extracted parameter index is used to select these frames for physician review. The same techniques are applied to the centered window of every frame to extract the cardiac cycles in the cineangiogram. This information can be used to index the stored cineangiogram for fast retrieval. It can also be used to synchronize two cineangiograms playing at the same time for clinical comparison and evaluation. Both techniques have been applied to twenty-one sets of cineangiograms. The results are very consistent with physician observation. Since both techniques produce comparable result, the selection between them is dependent on the format of the video. The second

关键词： video databases Arteries Angiography video compression Cardiology X-rays Heart Edge detection image processing

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Designing a new storage technique for face images transmission using JPEG2000

Designing a new storage technique for face images transmissi...

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8th International conference Advanced Communication Technology, ICACT 2006

作者： Huang, Hsiu-Mei You, Geeng-Neng Syu, Fu-Song Liaw, Shu-Sheng Department of Management Science National Tai-Chung Institute of Technology 129 Saming Rd. Taichung 404 Taiwan Department of Multimedia Design National Tai-Chung Institute of Technology 129 Saming Rd. Taichung 404 Taiwan General Education Center China Medical University 91 Shiuesh Rd. Taichung 404 Taiwan

ISBN: (纸本)8955191294

Pictures and video sequences showing human faces are of high importance in content-based retrieval systems. During flourishing Internet time, more and more human face image databases are stored on the Internet. They provide a great number of human face images to access. Therefore, considering the storage space and the network bandwidth, how to access human face image more efficiently has become an important topic. The primary goal of our method is to minimize the number of bits required to preserve the crucial facial features without any loss of information. In this paper, we propose a new technique based on JPEG2000 for the storage and retrieval of the human face images. We combine lossy and lossless image compression of JPEG2000 to reach our goal. Aiming at the feature of human face image data, we will extract the facial features in the image as the most important information. The lossless image compression is used to retain the facial features of human face image. The background and the rest of the image are processed by lossy compression to further save the required storage space. The preliminary result has shown that our method can have higher compression ratio without loss of the crucial facial feature for low bandwidth communication applications, such as videophone and teleconferencing.

关键词： image communication systems

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Optimization of a Similarity Performance on Bounded Content of Motion Histogram by Using Distributed Model 1st

Optimization of a Similarity Performance on Bounded Content ...

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1st International conference of Advanced Computing and Informatics, ICACIN 2020

作者： Saoudi, El Mehdi Adoui El Ouadrhiri, Abderrahmane Jai Andaloussi, Said Ouchetto, Ouail Department of Mathematics and Computer Sciences Faculty of Science Computer Science Modeling Systems and Decision Support Lab Hassan II University of Casablanca Casablanca Morocco

ISBN: (纸本)9789811560477

In this paper, a content-based video retrieval (CBVR) system called Bounded Coordinate of Motion Histogram version 2 (BCMH v2) was processed on a distributed computing platform by using Apache Hadoop framework and a real-time distributed storage system using HBase. In fact, the amount of multimedia data is growing exponentially. Most of this data is available in image and video models. Analyzing huge data involves complex algorithms, which leads to challenges in optimizing processing time and data storage capacity. Many content-based video retrieval systems are suitable for processing large video dataset, but they are limited by the computational time and/or storage on a single machine. Thus, this paper presents the effectiveness of the proposed method with the distributed computing platform and its evaluation on the HOLLYWOOD2 video dataset. The experimental results demonstrate the good performances of the proposed approach. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Graphic methods

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Event-based modeling and processing of digital media 04

Event-based modeling and processing of digital media

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1st International Workshop on Computer Vision Meets databases, CVDB 2004

作者： Singh, Rahul Li, Zhao Kim, Pilho Pack, Derik Jain, Ramesh School of Electrical and Computer Engineering Georgia Institute of Technology United States College of Computing Georgia Institute of Technology United States

ISBN: (纸本)1581139179

Capture, processing, and assimilation of digital media-based information such as video, images, or audio requires a unified framework within which signal processing techniques and data modeling and retrieval approaches can act and interact. In this paper we present the rudiments of such a framework based on the notion of "events". This framework serves the dual roles of a conceptual data model as well as a prescriptive model that defines the requirements for appropriate signal processing. Amongst the key advantages of this framework, lies the fact that it fundamentally brings together the traditionally diverse disciplines of databases and (various areas of) digital signal processing. In addition to the conceptual event-based framework, we present a physical implementation of the event model. Our implementation specifically targets the problem of processing, storage, and querying of multimedia information related to indoor group- oriented activities such as meetings. Such multimedia information may comprise of video, image, audio, and text-based data. We use this application context to illustrate many of the practical challenges that are encountered in this area, our solutions to them, and the open problems that require research across databases, computer vision, audio processing, and multimedia. Copyright 2004 ACM.

关键词： Digital storage

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User interface framework for image searching

User interface framework for image searching

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Proceedings of the 1999 7th conference of the storage and retrieval for image and video databases Vii

作者： Brewer Jr., Orlie T. Boeing Co Seattle WA United States

This paper describes an API for image searching. The attempt was to isolate the functionality of the GUI from the functionality of the image search engine. The GUI would then make calls to the image search API and could be used with any image search engine implementing that API. Also, different methods of specifying the initial search image are discussed as well as different methods of displaying the results, including the use of 3D using VRML.

关键词： Graphical user interfaces

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Architecture for biomedical multimedia information delivery on the World Wide Web

Architecture for biomedical multimedia information delivery ...

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conference on Multimedia storage and Archiving Systems ii

作者： Long, LR Goh, GH Neve, L Thoma, GR National Library of Medicine (United States)

ISBN: (纸本)0819426628

Research engineers at the National Library of Medicine are building a prototype system for the delivery of multimedia biomedical information on the World Wide Web. This paper discusses the architecture and design considerations for the system, which will be used initially to make images and text from the third National Health and Nutrition Examination Survey (NHANES) publicly available. We categorized our analysis as follows: (1) fundamental software tools: we analyzed trade-offs among use of conventional HTML/CGI, X Window Broadway, and Java;(2) image delivery: we examined the use of unconventional TCP transmission methods;(3) database manager and database design: we discuss the capabilities and planned use of the Informix object-relational database manager and the planned schema for the NHANES database;(4) storage requirements for our Sun server;(5) user interface considerations;(6) the compatibility of the system with other standard research and analysis tools;(7) image display: we discuss considerations for consistent image display for end users. Finally, we discuss the scalability of the system in terms of incorporating larger or more databases of similar data, and the extensibility of the system for supporting content-based retrieval of biomedical images. The system prototype is called the Web-based Medical Information retrieval System (WebMIRS) An early version was built as a Java applet and tested on Unix, PC, and Macintosh platforms. This prototype used the MiniSQL database manager to do text queries on a small database of records of participants in the second NHANES survey. The full records and associated x-ray images were retrievable and displayable on a standard Web browser. A second (''Phase 1'') version has now been built, also a Java applet, using the MySQL database manager.

关键词： biomedical database image informatics Java NHANES SQL World Wide Web x-ray

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