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检索条件"任意字段=Conference on Storage and Retrieval for Image and Video Databases III"

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Feature identification as an aid to content-based image retrieval

Feature identification as an aid to content-based image retr...

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storage and retrieval for image and video databases iii

作者： Ramesh, Nagarajan Sethi, Ishwar K. Wayne State Univ. Detroit MI USA

ISBN: (纸本)081941767X

In recent years, databases have evolved from storing pure textual information to storing multimedia information - text, audio, video, and images. With such databases comes the need for a richer set of search keys that include keywords, shapes, sounds, examples, sketches, color, texture and motion. In this paper we address the problem of image retrieval where keys are object shapes or user sketches. In our scheme, shape features are extracted from each image as it is stored. The image is first segmented and points of high curvature are extracted. Regions surrounding the points of high curvature are used to compute feature values by comparing the regions with a number of references. The references themselves are picked out from the set of orthonormal wavelet basis vectors. An ordered set of distance measures between each local region and the wavelet references form a feature vector. When a user queries the database through a sketch, the feature vectors for high curvature points on the sketch are determined. An efficient nearest neighbor search then yields a set of images which contain objects that match the user's sketch closely. The process is completely automated. Initial experimental results are presented.

关键词： Information retrieval systems

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Intelligent video editing system using a neural network coding scheme

Intelligent video editing system using a neural network codi...

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storage and retrieval for image and video databases iii

作者： Rickman, Richard M. Stonham, T.John Brunel Univ. Uxbridge Middx UK

ISBN: (纸本)081941767X

video editors are frequently required to access sections of a video sequence which contain a particular scene. This may be regarded as an image retrieval-by-content problem where the user wishes to select images from within a large database according to a measure of similarity to a target. We present an intelligent video editing system based on a neural network coding scheme. The transformation learnt by the neural network maps each image into a very compact index which supports rapid fuzzy matching of video images. The neural network is trained using a learning law which produces an information preserving transform. Trained in this way, the node learns features which characterize the distribution of scenes within the video sequence. Each image frame in the sequence is coded with respect to these features. We show how the system performs on a typical sequence of newsreel footage and discuss the factors affecting the performance of both the training and the retrieval mechanism.

关键词： video signal processing

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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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video as an image data source: Efficient representations and applications

Video as an image data source: Efficient representations and...

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International conference on image Processing

作者： Anandan, P Irani, M Kumar, RT Bergen, J DAVID SARNOFF RES CTR PRINCETONNJ 08543

ISBN: (纸本)0780331222

The two fundamental advantages of video over still imagery are: (i) the ability capture temporal information, and (ii) the ability to acquire a continuously varying set of views of a scene. These advantages are obtained, however, at the cost of vastly increased amount of data. This paper describes an approach to video representation that is based on frame-to-frame alignment, mosaic construction, and 3D parallax recovery. The basic motivation behind our approach is to enable rapid access to the contents, while maintaining the data in a form as close to the source as possible. This representation supports a wide variety of applications that involve transmission, storage, visualization, retrieval, analysis, and manipulation of video sequences.

关键词： videotapes zero access time information image data A-DNA frame alignment representations parallax

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Fixed-window image descriptors for image retrieval

Fixed-window image descriptors for image retrieval

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storage and retrieval for image and video databases iii

作者： Guibas, Leonidas J. Rogoff, B. Tomasi, Carlo Stanford Univ. Stanford CA USA

ISBN: (纸本)081941767X

We work towards a content-based image retrieval system, where queries can be image-like objects. At entry time, each image is processed to yield a large number of indices into its windows. A window is a square in a fixed quad-tree decomposition of the image, and an index is a fixed-size vector, called a descriptor, similar to the periodograms used in spectral estimation. The fixed decomposition of images was prompted by the need for fast processing, but leads to windows that often straddle image regions with different textural contents, making indices less effective. In this paper, we investigate different definitions of spectral distance which we plan to use to classify windows according to their texture content.

关键词： Information retrieval systems

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Local structural association for retrieval and recognition of signature images

Local structural association for retrieval and recognition o...

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storage and retrieval for image and video databases iii

作者： Sethi, Ishwar K. Han, Ke Wayne State Univ. Detroit MI USA

ISBN: (纸本)081941767X

Many applications require similarity retrieval of an image from a large collection of images. In such cases, image indexing becomes important for efficient organization and retrieval of images. This paper addresses this issue in the context of a database of signature images and describes a system for similarity retrieval and recognition of signature images. The proposed system uses a set of geometric and topological features to map a signature image into two strings of finite symbols. A local associative indexing scheme is then used on the strings to organize and search the signature database. The advantage of the local associative indexing is that it is tolerant of missing features and allows queries even with partial signatures. The performance of the system has been tested with promising results with a signature database of 120 signatures.

关键词： Information retrieval systems

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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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Use of multimedia input in automated image annotation and content-based retrieval

Use of multimedia input in automated image annotation and co...

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storage and retrieval for image and video databases iii

作者： Srihari, Rohini K. SUNY/Buffalo Amherst NY USA

ISBN: (纸本)081941767X

This research explores the interaction of linguistic and photographic information in an integrated text/image database. By utilizing linguistic descriptions of a picture (speech and text input) coordinated with pointing references to the picture, we extract information useful in two aspects: image interpretation and image retrieval. In the image interpretation phase, objects and regions mentioned in the text are identified;the annotated image is stored in a database for future use. We incorporate techniques from our previous research on photo understanding using accompanying text: a system, PICTION, which identifies human faces in a newspaper photograph based on the caption. In the image retrieval phase, images matching natural language queries are presented to a user in a ranked order. This phase combines the output of (1) the image interpretation/annotation phase, (2) statistical text retrieval methods, and (3) image retrieval methods (e.g., color indexing). The system allows both point and click querying on a given image as well as intelligent querying across the entire text/image database.

关键词： image processing

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Query by image example: the comparison algorithm for navigating digital image databases (CANDID) approach

Query by image example: the comparison algorithm for navigat...

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storage and retrieval for image and video databases iii

作者： Kelly, Patrick M. Cannon, Michael Hush, Donald R. Los Alamos Natl. Lab. Los Alamos NM USA

ISBN: (纸本)081941767X

CANDID (comparison algorithm for navigating digital image databases) was developed to enable content-based retrieval of digital imagery from large databases using a query-by-example methodology. A user provides an example image to the system, and images in the database that are similar to that example are retrieved. The development of CANDID was inspired by the N-gram approach to document fingerprinting, where a `global signature' is computed for every document in a database and these signatures are compared to one another to determine the similarity between any two documents. CANDID computes a global signature for every image in a database, where the signature is derived from various image features such as localized texture, shape, or color information. A distance between probability density functions of feature vectors is then used to compare signatures. In this paper, we present CANDID and highlight two results from our current research: subtracting a `background' signature from every signature in a database in an attempt to improve system performance when using inner-product similarity measures, and visualizing the contribution of individual pixels in the matching process. These ideas are applicable to any histogram-based comparison technique.

关键词： Database systems

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Hypermedia-based integration of plural multimedia databases

Hypermedia-based integration of plural multimedia databases

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storage and retrieval for image and video databases iii

作者： Shiba, Satoshi Nagahisa, Hiroto Shibayama, Jun'ichi Mitsubishi Computer and Information Systems Lab. Kamakura Kanagawa Jpn

ISBN: (纸本)081941767X

In this paper we present the application of the hypermedia system in a prototype that has new kinds of nodes and links for integration of plural multimedia databases. Usually, multimedia databases are independent of each other. They manage different contents and attributes of multimedia data by each different schema. Applications to retrieve from them have particular functions for efficient retrieval. In such a situation, a user would like to integrate the databases. For example, to retrieve a part number from a machine part database and to use the part number for ordering. It has been a difficult task without total reconstruction of the databases. To solve this problem, we propose hypermedia-based integration of plural multimedia databases, without changing the schema and interfaces of the already developed databases, but making linkage between them. The hypermedia system developed at our laboratory features integrating applications, and sharing the integrated applications. By using this system, it becomes possible that a node is what an application does and a link is a relation of what an application does to another one. Then, by linking these nodes, it becomes possible that a series of retrieval for multimedia databases is performed as one retrieval.

关键词： Database systems

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