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Conference on storage and retrieval for image and video databases V

作者： Salam, S Hall, W Department of Electronics and Computer Science University of Southampton United Kingdom

ISBN: (纸本)0819424331

This paper describes the development of a prototype of a video database system, called VLdIO, that takes account of the importance of different perspectives in video retrieval. Text-based hierarchical structures are used for representing the contents of a video. The structures are used for supporting the required functionalities in organizing personalized video materials. In addition to support for indexing original video materials, the system also supports tools for re-indexing and maintaining the results of video retrieval. In other words it tries to fulfill the requirement of personalized video information management. The paper defines the requirement, outlines the key considerations in providing such support and describes the implemented system.

关键词： Information management

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Large-scale video copy retrieval with temporal-concentration SIFT

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NEUROCOMPUTING 2016年 187卷 83-91页

作者： Zhu, Yingying Huang, Xiaoyan Huang, Qiang Tian, Qi Shenzhen Univ Sch Comp Sci & Software Engn Shenzhen 518060 Peoples R China Shenzhen Co Ltd Oracle Res & Dev Ctr Shenzhen 518057 Peoples R China Univ Texas San Antonio Dept Comp Sci San Antonio TX 78249 USA

The scale-invariant feature transform (SIFT) feature plays a very important role in multimedia content analysis, such as near-duplicate image and video retrieval. However, the storage and query costs of SIFT become unbearable for large-scale databases. In this paper, SIFT features are robustly encoded with temporal information by tracking the SIFT to generate temporal-concentration SIFT (TCSIFT), which highly compresses the quantity of local features to reduce visual redundancy, and keeps the advantages of SIFT as much as possible at the same time. On the basis of TCSIFT, a novel framework for large-scale video copy retrieval is proposed in which the processes of retrieval and validation are implemented at the feature and frame level. Experimental results for two different datasets, i.e., CC_WEB_video and TRECviD, demonstrate that our method can yield comparable accuracy, compact storage size, and more efficient execution time, as well as adapt to various video transformations. (C) 2015 Elsevier B.V. All rights reserved.

关键词： video copy retrieval SIFT Spatio-temporal features Frame validation

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SELF-ALIGNING AND COMPRESSED AUTOSOPHY video databases

SELF-ALIGNING AND COMPRESSED AUTOSOPHY VIDEO DATABASES

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CONF ON storage AND retrieval FOR image AND video databases

作者： HOLTZ, K Omni Dimensional Networks (United States)

ISBN: (纸本)0819411418

Autosophy, an emerging new science, explains `self-assembling structures,' such as crystals or living trees, in mathematical terms. This research provides a new mathematical theory of `learning' and a new `information theory' which permits the growing of self-assembling data network in a computer memory similar to the growing of `data crystals' or `data trees' without data processing or programming. Autosophy databases are educated very much like a human child to organize their own internal data storage. Input patterns, such as written questions or images, are converted to points in a mathematical omni dimensional hyperspace. The input patterns are then associated with output patterns, such as written answers or images. Omni dimensional information storage will result in enormous data compression because each pattern fragment is only stored once. Pattern recognition in the text or image files is greatly simplified by the peculiar omni dimensional storage method. video databases will absorb input images from a TV camera and associate them with textual information. The `black box' operations are totally self-aligning where the input data will determine their own hyperspace storage locations. Self-aligning autosophy databases may lead to a new generation of brain-like devices.

关键词： databases Data storage Data processing Computer programming Cameras Televisions video Content addressable memory Data compression Education and training

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Implementation and performance evaluation of a progressive image retrieval system

Implementation and performance evaluation of a progressive i...

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storage and retrieval for image and video databases vi

作者： Liang, Kai-Chieh Kuo, C.-C. Jay Integrated Media Systems Center Dept. of Elec. Engineering Systems University of Southern California Los Angeles CA 90089-2564 United States

An integrated wavelet-based image storage and indexing system is proposed in this research. Indexing features of consideration contains the texture, color and spatial information of images. These features can be naturally extracted during the successive approximation quantization (SAQ) stage of the wavelet compression process. Extensive experimental results are performed to demonstrate the retrieval performance of the new approach.

关键词： image retrieval

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VORTEX: video retrieval and tracking from compressed multimedia databases - affine transformation and occlusion invariant tracking from MPEG-2 video

VORTEX: video retrieval and tracking from compressed multime...

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7th storage and retrieval for image and video databases Conference

作者： Schonfeld, D Lelescu, D Univ Illinois Dept EECS Signal & Image Res Lab Chicago IL 60680 USA

ISBN: (纸本)0819431273

In this paper, we present topics related to tracking of video objects in compressed video databases in the context of video retrieval applications. We developed a video retrieval and tracking system (VORTEX) to enable operation directly on compressed video data. The structure of the video compression standards is exploited in order to avoid the costly decompression operation. This is achieved by utilizing motion compensation-a critical prediction filter embedded in video compression standards-to estimate and interpolate the desired method for template matching. Occlusion analysis, filtering and motion analysis are used to implement fast tracking of objects of interest on the compressed video data. Being presented with a query in the form of template images of objects, the system operates on the compressed video in order to find the images or video sequences where those objects are present and their positions in the image. This enables the retrieval and display of the query-relevant sequences.

关键词： video retrieval compressed multimedia databases compressed domain processing motion analysis occlusion MPEG

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video segmentation and classification for content based storage and retrieval using motion vectors

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Proceedings of SPIE - The International Society for Optical Engineering 1999年 3656卷 687-698页

作者： Fernando, W.A.C. Canagaraja, C.N. Bull, D.R. Univ of Bristol Bristol United Kingdom

video parsing is an important step in content-based indexing techniques where the input video is decomposed into segments with uniform content. In video parsing detection of scene changes is one of the approaches widely used for extracting key frames from the video sequence. In this paper, an algorithm based on motion vectors is proposed to detect sudden scene changes and gradual scene changes (camera movements such as panning, tilting and zooming). Unlike some of the existing schemes, the proposed scheme is capable of detecting both sudden and gradual changes in uncompressed as well as compressed domain video. It is shown that the resultant motion vector can be used to identify and classify gradual changes due to camera movements. Results show that algorithm performed as well as the histogram-based schemes with uncompressed video. The performance of the algorithm was also investigated with H.263 compressed video. The detection and classification of both sudden and gradual scene changes was successfully demonstrated.

关键词： image segmentation

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Extended symbolic projection for content-based indexing and retrieval of audio, video, and multimedia documents 5

Extended symbolic projection for content-based indexing and ...

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Conference on storage and retrieval for image and video databases V

作者： Arndt, T Guercio, A Dipartimento di Informatica Ed Applicazioni Universita' di Salerno Baronissi (SA) 84081 Italy

ISBN: (纸本)0819424331

The technique of symbolic projection has been widely studied in the area of image database systems as a first step towards content-based indexing and retrieval of images. In this paper we have extended the idea of symbolic projections to video and audio data as well as to multimedia documents containing combinations of these data types. Formal definitions of symbolic video sequence, symbolic audio sequence and symbolic multimedia documents are given as are definitions of their symbolic projections. An indexing methodology based on these symbolic projections is presented. Operators which allow multimedia documents to be constructed from the basic multimedia data types are also presented. The main contribution of this paper is to provide a basis for the development of content-based retrieval of multimedia documents via extended symbolic projections.

关键词： video indexing audio indexing multimedia documents content-based retrieval

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FLEXIBLE MONTAGE retrieval FOR image DATA 2

FLEXIBLE MONTAGE RETRIEVAL FOR IMAGE DATA

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Conference on storage and retrieval for image and video databases II

作者： SAKAMOTO, H SUZUKI, H UEMORI, A NIPPON TELEGRAPH & TEL PUBL CORP HUMAN INTERFACE LABS3-9-11 MIDORI CHOMUSASHINOTOKYO 180JAPAN

ISBN: (纸本)0819414808

Academic and photo libraries require the reuse of images. If the database is large, similarity retrieval and retrieval by sketch are effective. However, similarity retrieval can retrieve images that are similar to only one key image. retrieval by sketch can retrieve images that are similar to the sketch, but it is not always easy to make a sketch sufficiently similar to the desired image. To overcome these limitations, we propose a new flexible montage retrieval method (FMR) that allows the user to retrieve images by appropriately combining characteristics of the key images in the same way that a montage picture of a criminal is constructed. In FMR, the user selects one or more key images and specifies areas (called `key regions') manually or by using image manipulating tools. He then indicates the retrieval conditions, for example, the requirement that the image to be retrieved includes specified areas. This paper describes an FMR algorithm that uses a color histogram and texture to quantify the similarity between a key region and an image in the database. The effectiveness of FMR is then statistically demonstrated by comparing its correct retrieval rate with that of retrieval by sketch. The retrieval rate is calculated from the result of retrieving the images that include a specified sky image from among more than 150 images containing various sky images.

关键词： image retrieval databases image storage Rhodium Feature extraction Radium RGB color model Tellurium Lithium Photography

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CONF ON storage AND retrieval FOR image AND video databases

作者： KITAMOTO, A ZHOU, C TAKAGI, M Univ. of Tokyo (Japan)

ISBN: (纸本)0819411418

An attributed relational graph (ARG) is introduced into our NOAA satellite image database system. The node and the branch of an ARG denotes a classified region and a spatial relationship between adjacent regions, respectively. Furthermore, a few attributes of a node/branch help to express numerical shape features of regions. Similarity retrieval thereby turns out to be equivalent to graph matching. The similarity retrieval process of the system is as follows: (1) select a visual example image as a query and generate its graph structure, (2) calculate an optimal graph matching cost between a query graph and an archived graph in the database, utilizing algorithm A^* with heuristic information, (3) choose archived images in the ascending order of a corresponding matching cost.

关键词： image retrieval databases Earth observing sensors Satellite imaging Satellites Clouds image processing Time metrology visualization image visualization

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EFFICIENT CONTENT-BASED retrieval IN image databases - A PROBABILISTIC APPROACH 2

EFFICIENT CONTENT-BASED RETRIEVAL IN IMAGE DATABASES - A PRO...

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Conference on storage and retrieval for image and video databases II

作者： RABITTI, F SAviNO, P CNR IST ELABORAZ INFORMAZI-56100 PISAITALY

ISBN: (纸本)0819414808

This paper describes the retrieval process from image databases, based on a partial match between the query and the images. The proposed approach allows to measure the similarity between the query and the images in the database and to retrieve those having the highest probability to be relevant. The paper describes the query processing and the access structures, based on the `signature method'. Four levels of signature files are associated to the image database and a signature is associated to the query. The query signature is compared with the image signatures in a four step image processing algorithm. The result of the process is a set of images with an associated recognition degree, measured by using information provided by the user during query formulation (such as importance of the presence of each object) and by using the image structure and the recognition degree associated to each object. The retrieved images are presented to the user in decreasing relevance order. The method described so far is inefficient, since the selection of most relevant images is executed among all relevant images (even those having a low relevance). The paper presents two approaches for improving the efficiency of query processing by (a) reducing the number of accesses to the image Database and (b) by reducing the number of accesses to the signature file. The two approaches are discussed in detail in the paper. The advantages and drawbacks of each method are illustrated.

关键词： image retrieval image processing databases image analysis image filtering Prototyping image enhancement Detection and tracking algorithms Silicon Analytical research

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