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Conference on storage and retrieval for image and video databases V

作者： Kurakake, S Kuwano, H Odaka, K NTT Human Interface Labs. (Japan)

ISBN: (纸本)0819424331

An indexing method for content-based image retrieval by using textual information in video is proposed. Indices extracted from textual information make it possible to retrieve video data by a conceptual query, such as a topic or a person's name, and organize fiat video data into structured video data based on its conceptual content. To this end, we developed a text extraction and recognition algorithm and a visual feature matching algorithm for indexing and organizing video data at a conceptual level The text extraction and recognition algorithm identifies frames in the video which contain text, extracts the text regions from the frame, finds text lines, and recognizes characters in the text lines. The visual feature matching algorithm measures the similarity of frames containing text to find frames with similar appearance text, which can be considered topic change frames. Experiments using real video data showed that our algorithm can index textual information reliably and that it has good potential as a tool for making content-based conceptual-level queries to video databases.

关键词： content-based retrieval textual information in video telop character indexing layout analysis character recognition conceptual structure

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VISUAL image retrieval FOR APPLICATIONS IN ART AND ART-HISTORY 2

VISUAL IMAGE RETRIEVAL FOR APPLICATIONS IN ART AND ART-HISTO...

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Conference on storage and retrieval for image and video databases II

作者： HOLT, B HARTWICK, L UNIV CALIF DAVIS DAVISCA 95616

ISBN: (纸本)0819414808

Visual query programs are an effective tool for searching large collection of images. Unlike most programs of this type that rely on text to access categories of images, IBM's QBIC software will search for images based on what they look like. This is of value in situations where the content of an image is not described in the text catalog or when the user is seeking relational images. The Art and Art History Department at the University of California, Davis is using QBIC to determine what role it may play in retrieval of fine art images. This paper describes the department's construction of a pilot database and presents preliminary findings.

关键词： Visualization databases image retrieval image storage image quality Digital imaging image visualization Information visualization Photography Skin

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Detection of camera operations in compressed video sequences 5

Detection of camera operations in compressed video sequences

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Conference on storage and retrieval for image and video databases V

作者： Idris, F Panchanathan, S Univ. of Ottawa (Canada)

ISBN: (纸本)0819424331

Visual (image and video) database systems require efficient indexing to enable fast access to the images in a database. In addition, the large memory capacity and channel bandwidth requirements for the storage and transmission of visual data necessitate the use of compression techniques. Vector quantization (VQ) is an efficient technique for low bit rate image and video compression. In addition, the low complexity of the decoder makes VQ attractive for low power systems and applications which require fast decoding. The detection of camera operations provides a mechanism to segment a long video shot into short clips defined by homogeneous camera operations which can then be used for indexing. In this paper, we present a technique for the detection of camera operations in video sequences compressed using VQ. The proposed technique is executed in the compressed domain. This entails significant savings in computational and storage costs resulting in faster execution.

关键词： camera operations video segmentation video indexing vector quantization

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video and image retrieval beyond the cognitive level: The needs and possibilities

Video and image retrieval beyond the cognitive level: The ne...

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Conference on storage and retrieval for Media databases 2001

作者： Hanjalic, A Delft Univ Technol Fac Informat Technol & Syst Dept Mediamat NL-2600 GA Delft Netherlands

ISBN: (纸本)0819439932

The worldwide research efforts in the area of image and video retrieval have concentrated so far on increasing the efficiency and reliability of extracting the elements of image and video semantics and so on improving the search and retrieval performance at the cognitive level of content abstraction. At this abstraction level, the user is searching for "factual" or "objective" content such as image showing a panorama of San Francisco, an outdoor or an indoor image, a broadcast news report on a defined topic, a movie dialog between the actors A and B or the parts of a basketball game showing fast breaks, steals and scores. These efforts, however, do not address the retrieval applications at the so-called affective level of content abstraction where the "ground truth" is not strictly defined. Such applications are, for instance, those where subjectivity of the user plays the major role, e.g. the task of retrieving all images that the user "likes most", and those that are based on "recognizing emotions" in audiovisual data. Typical examples are searching for all images that "radiate happiness", identifying all "sad" movie fragments and looking for the "romantic landscapes", "sentimental" movie segments, "movie highlights" or "most exciting" moments of a sport event. This paper discusses the needs and possibilities for widening the current scope of research in the area of image and video search and retrieval in order to enable applications at the affective level of content abstraction.

关键词： image retrieval video retrieval affective computing

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Eigendecomposition-based analysis of video images

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Proceedings of SPIE - The International Society for Optical Engineering 1999年 3656卷 186-195页

作者： Chang, C-Y. Maciejewski, A.A. Balakrishnan, V. Purdue Univ West Lafayette United States

We present a fast algorithm for computing the singular value decomposition (SVD) of a matrix consisting of the frames from a video sequence. The computational efficiency of this algorithm derives from the observation that portions of a video sequence will consist of sets of correlated frames. We then show that the information obtained from the SVD can be used to analyze video sequences to obtain information such as scene breaks, scene query, reduced-order shot representation and key frame determination. We illustrate this approach on several video sequences.

关键词： image analysis

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retrieval by content in symbolic-image databases

Retrieval by content in symbolic-image databases

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Conference on storage and retrieval for Still image and video databases IV

作者： Soffer, A Samet, H UNIV MARYLAND DEPT COMP SCI & ELECT ENGNBALTIMOREMD 21228

ISBN: (纸本)0819420441

Two approaches for integrating images into the framework of a database management system are presented. The classification approach preprocesses all images and attaches a semantic classification and an associated certainty factor to each object found in the image. The abstraction approach describes each object in the image by using a vector consisting of the values of some of its features (e.g., shape, genus, etc.). The approaches differ in the way in which responses to queries that are based on image content are computed. In the classification approach, images are retrieved on the basis of whether or not they contain objects that have the same classification as query objects. In the abstraction approach, retrieval is on the basis of similarity of feature vector values of these objects. Both the pattern recognition and indexing aspects of the method are addressed for each approach. The emphasis is on extracting both contextual and spatial information from the raw images. Methods for storing and indexing symbolic images as tuples in a relation are presented for each approach. Indices are constructed for both the contextual and the spatial data. The user interface for a pictorial information system based on these two approaches is also presented.

关键词： image databases retrieval by content spatial databases image indexing query optimization

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MULTIMEDIA INTEGRATED SWITCHING ARCHITECTURE FOR VISUAL INFORMATION-retrieval SYSTEMS

MULTIMEDIA INTEGRATED SWITCHING ARCHITECTURE FOR VISUAL INFO...

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CONF ON storage and retrieval for image and video databases

作者： SAKAMOTO, H NISHIMURA, K ISHIBASHI, Y NAKANO, H NTT Human Interface Labs. (Japan)

ISBN: (纸本)0819411418

Advanced visual information retrieval systems supporting both video and images need to have flexible system design so that their system configurations can easily be enhanced. It is therefore desirable to separate the features of a central system into three parts: storage servers, communication servers, and a back-end network that combines these. In this architecture, unscheduled arrivals of data blocks at a back-end network cause two problems: unacceptable fluctuation of video frames and overly long delays of image transfer. To solve these problems, we have designed a new multimedia integrated switching system (MISS) that uses a fully connected crossbar switch to combine servers. MISS treats a time interval of a few hundred microseconds (called a `time-slot') as the basic unit of data block transfer, and allocates appropriate time-slots to all transfer requests in order to simultaneously meet the requirements for each kind of visual information transfer. According to simulation results and estimates based on queuing theory, MISS greatly reduces video frame fluctuation and halves the average image transfer delay. These effects have been confirmed in an experimental visual communication system built around MISS. This system supports JPEG compressed video and images, and six terminals can simultaneously retrieve visual information through an FDDI network.

关键词： Information visualization video Visualization Telecommunications Data storage Switches image compression Multimedia Local area networks Switching

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RETRIEVING imageS BY 2D SHAPE - A COMPARISON OF COMPUTATION METHODS WITH HUMAN PERCEPTUAL JUDGMENTS 2

RETRIEVING IMAGES BY 2D SHAPE - A COMPARISON OF COMPUTATION ...

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Conference on storage and retrieval for image and video databases II

作者： SCASSELLATI, B ALEXOPOULOS, S FLICKNER, M MIT DEPT COMP SCICAMBRIDGEMA 02139

ISBN: (纸本)0819414808

In content based image retrieval, systems allow users to ask for objects similar in shape to a query object. However, there is no clear understanding of how computational shape similarity corresponds to human shape similarity. In this paper several shape similarity measures were evaluated on planar, connected, non-occluded binary shapes. Shape similarity using algebraic moments, spline curve distances, cumulative turning angle, signal of curvature and Hausdorff- distance were compared to human similarity judgments on twenty test shapes against a large image database.

关键词： databases Binary data Computer programming image retrieval Content based image retrieval Human subjects Matrices Optical inspection Raster graphics Algorithm development

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INDUSTRIAL image ARCHIVING APPLICATIONS

INDUSTRIAL IMAGE ARCHIVING APPLICATIONS

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CONF ON storage and retrieval for image and video databases

作者： GROFF, S BROWN, G Dentech Inc. (United States)

ISBN: (纸本)0819411418

This paper describes various image database archiving solutions implemented by high volume semiconductor manufacturers. The solutions address the primary need of the manufacturing environment to have pictorial information and associated data instantly available throughout the manufacturing process. The problems explored in this paper include the interfacing of various devices that produce data, management of the large space requirements that image storage requires, and handling the mixing of different image formats such as NTSC and PAL. The discussion covers the collection and archiving of information from a variety of input devices such as analog video cameras, digital cameras, and scanning electron microscopes (SEM). The discussion also includes the problems and solutions of establishing a common format to allow one system to collect, merge, store, and recover a variety of pictorial information and data in one video medium. The solutions include a mix of analog and digital technology. Arguments are presented in favor of archiving images in their native format, analog or digital, and the advantages and disadvantages of each of the different formats.

关键词： Manufacturing Analog electronics image processing Inspection video image storage Scanning electron microscopy Semiconductor manufacturing Semiconductors Data storage

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VisualGREP: A systematic method to compare and retrieve video sequences

VisualGREP: A systematic method to compare and retrieve vide...

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storage and retrieval for image and video databases VI Conference

作者： Lienhart, R Effelsberg, W Jain, R Univ Mannheim D-68131 Mannheim Germany

ISBN: (纸本)0819427527

In this paper we consider the problem of similarity between video sequences. Three basic questions are raised and (partially) answered. Firstly, at what temporal duration can video sequences be compared? The frame, shot, scene and video levels are identified. Secondly, given some image or video feature, what are the requirements on its distance measure and how can it be "easily" transformed into the visual similarity desired by the inquirer? Thirdly how can video sequences be compared at different levels? A general approach based on either a set or sequence representation with variable degrees of aggregation is proposed and applied recursively over the different levels of temporal resolution. It allows the inquirer to fully control the importance of temporal ordering and duration. Promising experimental results are presented.

关键词： video retrieval video similarity video indexing video content analysis video representations

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