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storage and retrieval for image and video databases VI Conference

作者： Murata, S Iwatsu, S Ueno, M Izawa, N Ishii, K NTT Integrated Informat & Energy Syst Labs Tokyo 180 Japan

ISBN: (纸本)0819427527

We propose a new disaster-tolerant file system for multimedia data storage. To protect against natural disasters by eliminating the possibility of simultaneous failure in multiple disks constituting a RAID (Redundant Array of Inexpensive Disks) system, our proposed file system features a RAID system with member disks spatially distributed over a wide area. The Fibre Channel standard has the potential to create an up to 10-km separation of member disks by using single-mode optical fiber cables. The prototype system of wide-area distributed file (WDF) consisting of a layered structure of RAID level 1 and RAID level 0 was tested. It has its entire data in a local disk and its mirroring data striped into two Fibre-Channel-connected disks by using optical fiber cables. The Effect of underlying software modules and hardware components on its read/write performance was investigated. Compared with a file system using a local disk, the prototype WDF system shows equivalent read performance by directing all reads to its local disk and its write performance is almost 20% lower. An on-line transaction processing (OLTP) benchmark was also executed. The WDF system achieved a throughput (transactions per second) similar to that of the file system using a local disk.

关键词： file system disaster-tolerant RAID disk array Fibre Channel wide-area distribution data storage OLTP

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image indexing using composite regional color channels features

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Proceedings of SPIE - The International Society for Optical Engineering 1999年 3656卷 492-500页

作者： Appas, Ahmed R. Darwish, Ahmed M. El-Desouki, Ayman I. Shaheen, Samir I. Electronic Research Inst Dokki Egypt

Color indexing is a technique by which images in the database could be retrieved on the bases of their color content. In this paper, we propose a new set of color features for representing color images, and show how they can be computed and used efficiently to retrieve images that possess certain similarity. These features are based on the first three moments of each color channel. Two differences distinguish this work from previous work reported in the literature. First, we compute the third moment of the color channel distribution around the second moment not around the first moment. The second moment is less sensitive to small luminance changes, than the first moment. Second we combine all three moment values in a single descriptor. This reduces the number of floating point values needed to index the image and hence speeds up the search. To give the user flexibility in terms of defining his center of attention during query time, the proposed approach divides the image into five geometrical regions and allows the user to give different weights for each region to designate its importance. The approach has been tested on databases of 205 images of airplanes and natural scenes. It proved to be insensitive to small rotations and small translations in the image and yielded a better hit rate than similar algorithms previously reported in the literature.

关键词： image analysis

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Object-oriented multimedia database system with versioning and content-based retrieval

Object-oriented multimedia database system with versioning a...

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storage and retrieval for image and video databases III

作者： Arndt, Timothy Guercio, Angela Univ. di Salerno Baronissi Italy

ISBN: (纸本)081941767X

A prototype object-oriented multimedia database management system currently being developed is described. The system supports the storage and retrieval of images, video, audio and documents composed of these types. The major features of the system include: (1) content-based indexes for each of the data types, (2) an intuitive user-oriented query language based on these indexes, (3) manual, semi-automatic and automatic indexing modes, (4) object-based user data models incorporated in query processing, (5) image/audio/video processing incorporated in the system, (6) versioning of objects, (7) browsing and navigation facilities. The indexes are interval-based and describe spatio-temporal relations between pairs of objects in the respective media. The query processing mechanism is described, as is the object-oriented data modeling facility. The most innovative aspects of this work are the following: (1) extension of iconic indexing of images to the audio and video data types, (2) an embedding of content-based iconic indexing in a multimedia database management system with particular emphasis on user-oriented indexing and querying, (3) the use of an object-oriented data model to alleviate the aliasing problem in query formation, (4) versioning of images/audio/video to save storage space.

关键词： Database systems

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A fuzzy logic approach to digital video segmentation

A fuzzy logic approach to digital video segmentation

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storage and retrieval for image and video databases VI

作者： Ford, Ralph M. The Pennsylvania State Univ. at Erie The Behrend College Erie PA 16563-1701 United States

A fuzzy logic system for the detection of shot boundaries in video sequences is presented. It integrates multiple metrics and knowledge of editing procedures to detect shot boundaries. Furthermore, the system is capable of classifying the editing process employed to create the shot boundary into one of the following categories: abrupt cut, fade-in, fade-out, or dissolve.

关键词： image segmentation

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Efficient video search using image queries

Efficient video search using image queries

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作者： Araujo, A. Makar, M. Chandrasekhar, V. Chen, D. Tsai, S. Chen, H. Angst, R. Girod, B. Stanford University United States Qualcomm Inc. United States Institute for Infocomm Research Singapore Singapore

ISBN: (纸本)9781479957514

We study the challenges of image-based retrieval when the database consists of videos. This variation of visual search is important for a broad range of applications that require indexing video databases based on their visual contents. We present new solutions to reduce storage requirements, while at the same time improving video search quality. The video database is preprocessed to find different appearances of the same visual elements, and build robust descriptors. Compression algorithms are developed to reduce system's storage requirements. We introduce a dataset of CNN broadcasts and queries that include photos taken with mobile phones and images of objects. Our experiments include pairwise matching and retrieval scenarios. We demonstrate one order of magnitude storage reduction and search quality improvements of up to 12% in mean average precision, compared to a baseline system that does not make use of our techniques. © 2014 IEEE.

关键词： Database systems

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Integrated system for image storage, retrieval and transmission using wavelet transform

Integrated system for image storage, retrieval and transmiss...

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Proceedings of the 1999 7th Conference of the storage and retrieval for image and video databases VII

作者： Yu, Dan Liu, Ya Mu, Yan Yang, Shiqiang Tsinghua Univ Beijing China

A highly integrated wavelet-based image management system is proposed. Three solutions for key aspect of image management are derived: content-based image retrieval (CBIR);image compression/decompression;and image transmission. By exploring the excellent features of wavelet, integrating key aspect of image management, the system shows a high overall performance.

关键词： Database systems

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Semantic classification in image databases

Semantic classification in image databases

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作者： Vailaya, Aditya Michigan State University

学位级别：Ph.D.

Due to the huge amount of potentially interesting documents available over the Internet, searching for relevant information has become very difficult. Since image and video are a major source of these data, grouping images into (semantically) meaningful categories using low-level visual features is an important (and challenging) problem in content-based image retrieval. Using Bayesian classifiers, we attempt to capture high-level concepts from low-level image features. Specifically, we have developed Bayesian classifiers for semantic image classification (indoor vs. outdoor, city vs. landscape, and sunset vs. forest vs. mountain), image orientation detection, and object detection (detecting regions of sky and vegetation in outdoor images). We demonstrate that a small codebook (the optimal codebook size is selected using a modified MDL criterion) extracted from a learning vector quantizer can be used to estimate the class-conditional densities of the observed features needed for image classification. We have developed an incremental learning paradigm, a feature selection scheme, a rejection scheme, and a classifier combination strategy using bagging to improve classifier performance. Empirical results on a large database (∼24,000 images) show that semantic categorization and organization of the database using the proposed classification schemes improves both retrieval accuracy and efficiency.

关键词： Database managementimage processingInformation storage and retrieval systemsInternetMultimedia systems

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Watermark embedded DCT indexing keys for portable imaging devices

Watermark embedded DCT indexing keys for portable imaging de...

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21st Annual International Conference on Consumer Electronics (ICCE)

作者： Armstrong, A Jiang, J Univ Glamorgan Sch Comp Pontypridd CF37 1DL M Glam Wales

ISBN: (纸本)0780373006

The maintenance required on modern media databases to allow efficient indexing and retrieval is becoming an ever-increasing burden. An explosion in the content of the internet [1], the lowering in costs associated with imaging devices and the digital revolution have placed much higher requirements on the storage of graphics and video, both in commercial domains and at home. Fully automated indexing systems will be very desirable to manage and organise these large amounts of data. We tackle the problem of image indexing in the compressed domain using a Neural Network extraction technique together with a DCT domain watermark. This approach allows the indexing of the image entirely in the DCT domain, thus benefits from substantial computational savings. Coupled with DCT based watermarking, the technique allows for the real-time embedding of indexing data in popular image (JPEG) and video (MPEG) formats. Such a low-cost combination (both in processing and key storage) makes the method highly suitable for the use in portable imaging devices such as digital cameras were it would be highly desirable to have some means of indexing the images they have stored.

关键词： image retrieval

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Cooperation model for video-document retrieval

Cooperation model for video-document retrieval

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storage and retrieval for image and video databases III

作者： Simonnot, Brigitte Cent. de Recherche en Informatique de Nancy Vandoeuvre-les-Nancy Cedex Fr

ISBN: (纸本)081941767X

Information retrieval in video document archives presents specific issues. One of them is that a video document contains a large amount of information and can be seen under different aspects. We propose an information retrieval process model based on the cooperation between different specialists: specialists in the application domain, specialists of the media, and specialists in information retrieval. Each specialist has a proper point of view on documents, a partial knowledge which can be exploited in the query interpretation and during the search, and a particular role to play in the different stages of the retrieval process. A facetted data model helps to refine documents descriptions and search results. Each facet can be linked to one structure level of video documents. During the retrieval process, a flexible collaboration between several information retrieval experts is set up to deal with the different aspects of documents and query descriptions and to improve retrieval performance. A prototype, using the MHEG standard, is being implemented to retrieve TV news sequences and to present search results in a hypermedia form.

关键词： Information retrieval systems

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An Exhaustive Study on Data Mining Techniques in Mining of Multimedia Database

An Exhaustive Study on Data Mining Techniques in Mining of M...

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International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT)

作者： Yadav, Pramod Kumar Rizvi, S. A. M. Krishna Inst Engn & Technol Dept Comp Sci & Engn Ghaziabad India Jamia Millia Islamia Dept Comp Sci New Delhi India

ISBN: (纸本)9781479928996

Multimedia database can be define as a collection of storage and retrieval systems, in which large amount of media objects are created, modified, searched and retrieved, where as Multimedia is the combination of text, image, graphics, animations, audio and video. The extension of database application to handle multimedia objects requires synchronization of multiple media data streams. Multimedia data mining refers to the extraction of implicit knowledge, data relationships, or other patterns which are not stored in multimedia files explicitly. The system's overall performance in retrieval can be increase by indexing and classification of multimedia data with efficient information fusion of the different modalities is mandatory. Apart from text retrieval, the current waves in web searching and multimedia data retrieval are the search for and delivery of 3D scenes, images, music and video. The content-based multimedia information retrieval provides new techniques and methods for searching various multimedia databases over the world.

关键词： Query Optimization Spatial data mining web mining Text Mining image Mining Audio and video Mining Map Reduce

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