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storage and retrieval for Still image and video databases IV

作者： Shen, Bo Sethi, Ishwar K. Wayne State Univ. Detroit MI USA

ISBN: (纸本)0819420441

This paper examines the issue of direct extraction of low level features from compressed images. Specifically, we consider the detection of areas of interest and edges in images compressed using the discrete cosine transform (DCT). For interest areas, we show how a measure based on certain DCT coefficients of a block can provide an indication of underlying activity. For edges, we show using an ideal edge model how the relative values of different DCT coefficients of a block can be used to estimate the strength and orientation of an edge. Our experimental results indicate that coarse edge information from compressed images can be extracted up to 20 times faster than conventional edge detectors.

关键词： image processing

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videoBook: an experiment in characterization of video

VideoBook: an experiment in characterization of video

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IEEE International Conference on image Processing

作者： G. Iyengar A.B. Lippman MIT Media Laboratory Cambridge MA USA Massachusetts Institute of Technology Cambridge MA US

We present a framework for content based query and retrieval of information from large video databases. This framework enables content based retrieval of video sequences by characterizing the sequences using motion, texture and colorimetry cues. This characterization is biologically inspired and results in a compact parameter space where every segment of video is represented by an 8 dimensional vector. Searching and retrieval is done in real-time with high accuracy in this parameter space. The present version of the videoBook has 165 video sequences, each 15 seconds long at 30 frames a second representing storage of 65 Giga bytes. The videoBook is able to search and retrieve video sequences with 92% accuracy in real-time. Experiments thus demonstrate that the characterization is capable of extracting higher level structure from raw pixel values.

关键词： video sequences image databases Information retrieval Content based retrieval Humans Spatial databases Encoding Intelligent sensors Motion detection Detectors

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`Photo image database' firm that beat out document management for billing & archiving

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Advanced Imaging 1996年第8期11卷

作者： Sheen, Nic iBase Image Systems Ltd West Yorks United Kingdom

iBase image Systems, based in northern England, specializes in high performance image databases which allow retrieval and on-screen presentation of images, video and associated textual information with speed and flexibility unmatched by any other database. One of its major projects is a duplicate billing system for a major British telecommunications company. iBase came up with a PC-based system which met the client's requirements for high speed data retrieval and efficient data loading and storage.

关键词： Imaging systems

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A model-based form processing sub-system

A model-based form processing sub-system

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International Conference on Pattern Recognition

作者： Jianchang Mao M. Abayan K. Mohiuddin IBM Almaden Research Center San Jose CA USA Department of EECS MIT Cambridge MA USA

ISBN: (纸本)081867282X

This paper presents a model-based form processing sub-system, which consists of a form model database and five modules: (i) form modeling, (ii) form recognition, (iii) form dropout, (iv) form definition tool, and (v) form reconstruction. The form modeling module builds explicit representations of scanned form templates to facilitate form recognition and dropout. It can also assist a user to define various fields on a form. The automatic form recognition eliminates the need for manually sorting input forms. The form dropout module effectively removes pre-printed form content to achieve a high data compression rate and to provide clean data for OCR. Our model-driven form dropout scheme has two major advantages over image-based subtraction methods in both dropout efficiency and quality preservation of filled-in data.

关键词： Optical character recognition software image reconstruction image databases Data compression image storage Information retrieval image recognition Sorting image retrieval Government

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databases FOR video INFORMATION SHARING

DATABASES FOR VIDEO INFORMATION SHARING

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Conference on storage and retrieval for image and video databases iii

作者： HJELSVOLD, R MIDTSTRAUM, R NORWEGIAN INST TECHNOL DEPT COMP SYST & TELEMATN-7034 TRONDHEIMNORWAY

ISBN: (纸本)081941767X

This paper describes the videoSTAR experimental database system that is being designed to support video applications in sharing and reusing video data and meta-data. videoSTAR provides four different repositories: for media files, virtual documents, video structures, and video annotations/user indexes. It also provides a generic video data model relating data in the different repositories to each other, and it offers a powerful application interface. videoSTAR concepts have been evaluated by developing a number of experimental video tools, such as a video player, a video annotator, a video authoring tool, a video structure and contents browser, and a video query tool.

关键词： Database systems

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theta-INDEX OF imageBASE

theta-INDEX OF IMAGEBASE

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Conference on storage and retrieval for image and video databases iii

作者： LIU, Y SAVANNAH STATE COLL DEPT MATH & COMP SCISAVANNAHGA 31404

ISBN: (纸本)081941767X

In this paper, we study the possibility of using Θ-index for retrieval of imagebase. image retrieval is related to partition in an image space. If there exists a mapping from an image space to a feature space, the partition in the image space can be converted into a partition in the feature space. To retrieve an image, some features of the image must be identified. Feature identification can be considered as optimal assignment of some indices to images. This is equivalent to an optimal partition of image space into mutual exclusive regions, each corresponding to particular values of a set of indices. In our system, the feature extraction is implemented by a two-dimensional Θ-transformation. The time complexity for a Θ-transformation is very low. Therefore, for a certain class of images, Θ- transformation is a very efficient algorithm for image indexing.

关键词： imageBASE image TRANSFORMATION DATABASE image COMPRESSION BOLTZMANN MACHINE

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video REPRESENTATION TOOLS USING A UNIFIED OBJECT AND PERSPECTIVE BASED APPROACH

VIDEO REPRESENTATION TOOLS USING A UNIFIED OBJECT AND PERSPE...

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Conference on storage and retrieval for image and video databases iii

作者： MADRANE, N GOLDBERG, M EURECOM INST DEPT MULTIMEDIAF-06904 SOPHIA ANTIPOLISFRANCE

ISBN: (纸本)081941767X

This paper presents a video indexing and representation tool for sequences which contain moving persons, using a model-based dynamic scene analysis. A scenario, describing the sequence in terms of basic events, is proposed. These events constitute a first level of annotation and are used to build a visual representation of the sequence called Object Based video Icon. Experiments are carried out and a prototype system is described.

关键词： video signal processing

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image retrieval FOR INFORMATION SYSTEMS

IMAGE RETRIEVAL FOR INFORMATION SYSTEMS

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Conference on storage and retrieval for image and video databases iii

作者： HERMES, T KLAUCK, C KREYSS, J ZHANG, J UNIV BREMEN DEPT COMP SCID-28334 BREMENGERMANY

ISBN: (纸本)081941767X

In order to retrieve a set of intended images from a huge image archive, human beings think of special contents with respect to the searched scene, like a countryside or a technical drawing. Therefore, in general it is harder to retrieve images by using a syntactical feature- based language than a language which offers the selection of examples concerning color, texture, and contour in combination with natural language concepts. This motivation leads to a content-based image analysis and goes on to a content-based storage and retrieval of images. Furthermore, it is unreasonable for any human being to make the content description for thousands of images manually. From this point of view, the project IRIS (image retrieval for information systems) combines well-known methods and techniques in computer vision and AI in a new way to generate content descriptions of images in a textual form automatically. IRIS retrieves the images by means of text retrieval realized by the SearchManager/6000. The textual description is generated by four sub-steps: feature extraction like colors, textures, and contours, segmentation, and interpretation of part-whole relations. The system is implemented on IBM RS/6000 using AIX. It has already been tested with 350 images.

关键词： image retrieval TEXT retrieval image ANALYSIS NATURAL LANGUAGE

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AUTOMATIC INDEXING FOR storage AND retrieval OF LINE DRAWINGS

AUTOMATIC INDEXING FOR STORAGE AND RETRIEVAL OF LINE DRAWING...

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Conference on storage and retrieval for image and video databases iii

作者： LORENZ, O MONAGAN, G SWISS FED INST TECHNOL CH-8092 ZURICHSWITZERLAND

ISBN: (纸本)081941767X

The usefulness of a collection of scanned graphical documents can be measured by the facilities available for their retrieval. We present an approach for indexing a collection of line drawings automatically. The indexing is based on the textual and graphical content of the drawings. This approach has been developed to facilitate `retrieval by example' in heterogeneous collections of graphical documents. No a priori knowledge about the application domain is assumed. Starting with a raster image, candidate character patterns and graphical primitives (i.e., line segments and arcs) are extracted. Candidate character patterns are classified by an OCR method and grouped into word hypotheses. Graphical features of various types are computed from groupings of graphical primitives (e.g., sequences of adjacent lines, pairs of parallel lines). retrieval occurs with a weighted information retrieval system. Each document of the collection and each query are described with a set of indexing features with their corresponding weights. The weight of an indexing feature reflects the descriptive nature of the feature and is computed from the number of occurrences of the indexing feature in the document (feature frequency ff) and the number of documents containing the indexing feature (document frequency df).

关键词： LINE DRAWINGS INDEXING retrieval SYSTEM GRAPHICAL FEATURES QUERY BY image EXAMPLE

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image SEARCHING IN A SHIPPING PRODUCT

IMAGE SEARCHING IN A SHIPPING PRODUCT

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Conference on storage and retrieval for image and video databases iii

作者： EQUITZ, W STORM SOFTWARE MT VIEWCA 94043

ISBN: (纸本)081941767X

Searching in image databases using image content has made the transition from the laboratory to consumer software. Storm Software is a pioneer in bringing these techniques to shrink-wrapped software applications, and this presentation describes some of the methods we use in our products and some of the experiences we have had in bringing this new technology to consumers. We describe the scope of the problem we are trying to solve as well as some of the algorithms and interfaces we used. We also describe some of the rationales (based on theory as well as on user testing) we had for the various design decisions we made. Finally, we describe some of the challenges and opportunities we see ahead. Descriptions and screen shots of two software products implementing image searching (EasyPhoto and Apple PhotoFlash) are provided. Both products were developed by Storm Software.

关键词： image SEARCH QUERY BY image CONTENT image DATABASE QBIC COMMERCIAL SOFTWARE

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