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

共 343 条记录，以下是241-250 订阅

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A novel image viewer providing fast object delineation for content based retrieval and navigation

A novel image viewer providing fast object delineation for c...

引用

storage and retrieval for image and video databases VI conference

作者： Perry, ST Lewis, PH Univ Southampton Dept Elect & Comp Sci Multimedia Res Grp Southampton SO17 1BJ Hants England

ISBN: (纸本)0819427527

In this paper we describe a novel interactive image viewer incorporating a range of image processing techniques that allows inexperienced users to quickly and easily delineate objects or shapes from a wide range of real world images. The viewer is specifically designed to be easily extensible, and this extensibility is demonstrated with the implementation of an iterative user guided segmentation tool. Using this tool objects can be efficiently extracted from images and used as the basis for navigation and retrieval within MAVIS, the Multimedia Architecture for video, image, and Sound.

关键词： interactive segmentation content based retrieval content based navigation extensible image viewer

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video retrieval by still image analysis with imageMiner(TM) 5

Video retrieval by still image analysis with ImageMiner(TM)

引用

conference on storage and retrieval for image and video databases V

作者： Kreyss, J Roper, M Alshuth, P Hermes, T Herzog, O Univ. Bremen (Germany)

ISBN: (纸本)0819424331

The large amount of available multimedia information (e.g. videos, audio, images) requires efficient and effective annotation and retrieval methods. As videos start playing a more important role in the frame of multimedia, we want to make these available for content-based retrieval. The imageMiner-System, which was developed at the University of Bremen in the AI group, is designed for content-based retrieval of single images by a new combination of techniques and methods from computer vision and artificial intelligence. In our approach to make videos available for retrieval in a large database of videos and images there are two necessary steps: First, the detection and extraction of shots from a video, which is done by a histogram based method and second, the construction of the separate frames in a shot to one still single image. This is performed by a mosaicing-technique. The resulting mosaiced image gives a one image visualization of the shot and can be analyzed by the the imageMiner-System. imageMiner has been tested on several domains, (e.g. landscape images, technical drawings), which cover a wide range of applications.

关键词： content based image retrieval video analysis mosaicing

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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 ...

引用

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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A content-based storage and retrieval scheme for image and video databases

A content-based storage and retrieval scheme for image and v...

引用

Visual Communications and image Processing 1998 conference

作者： Herodotou, N Plataniotis, KN Venetsanopoulos, AN Univ Toronto Digital Signal & Image Proc Lab Dept Elect & Comp Engn Toronto ON M5S 3G4 Canada

ISBN: (纸本)0819427497

In this paper, a technique is presented to locate and track the facial areas in image and video databases. The extracted facial regions are used to obtain a number of features that are suitable for content-based storage and retrieval. The proposed face localization method consists of essentially two components: i) a color processing unit, and ii) a shape and color analysis module. The color processing component utilizes the distribution of skin-tones in the HSV color space to obtain an initial set of candidate regions or objects. The latter shape and color analysis module is used to correctly identify the facial regions when falsely detected objects are extracted. A number of features such as hair color, skin-tone, and face location and size are subsequently determined from the extracted facial areas. The hair and skin colors provide useful descriptions related to the human characteristics while the face location and size can reveal information about the activity within the scene (i.e. spatial relationships with other objects), and the type of image (i.e. portrait shot, complete body). These features can be effectively combined with others and employed in user queries to retrieve particular facial images.

关键词： facial image databases face location content-based storage/retrieval color segmentation

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On the disk layout of near video on demand system 5

On the disk layout of near video on demand system

引用

conference on storage and retrieval for image and video databases V

作者： Lee, MH Chen, MC Ho, JM Ko, MT Institute of Information Science Academia Sinica Taipei Taiwan Department of Management Information System Shih Chien College Taipei Taiwan

ISBN: (纸本)0819424331

This paper discusses a novel data placement scheme which optimizes the storage utilization of a NVOD system. The scheme is most distinctive in the following two aspects: 1. It considers Me file blocks placement of programs featured different number NVOD channels. 2. The file blocks grouping scheme optimizes the storage utilization of a NVOD system.

关键词： near video on demand NVOD VOD disk layout

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Detection of camera operations in compressed video sequences 5

Detection of camera operations in compressed video sequences

引用

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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Recognition and visual feature matching of text region in video for conceptual indexing 5

Recognition and visual feature matching of text region in vi...

引用

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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VisualGREP: A systematic method to compare and retrieve video sequences

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

引用

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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A FFT based technique for image signature generation 5

A FFT based technique for image signature generation

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conference on storage and retrieval for image and video databases V

作者： Celentano, A DiLecce, V Università Ca' Foscari di Venezia Dipartimento di Matematica Applicata e Informatica Ca' Dolfin Dorsoduro 3825/e Venezia 30100 Italy Politecnico di Bari Dipartimento di Elettrotecnica e Elettronica Via Orabona 4 Bari 70125 Italy

ISBN: (纸本)0819424331

In this paper we address image retrieval by similarity in multimedia databases. We discuss the generation and use of signatures computed from image content. The proposed technique is not based on image annotation, therefore it does not require human assistance. Signatures abstract the directionality of image objects. They are computed from the image Fourier transform, and the influence of computation parameters on signature effectiveness is discussed. retrieval is based on spectrum comparison between a reference image, assumed as the query, and the images in a collection. We introduce a metric for comparing the spectra and ranking the result, and approach the issue of partial query specification. Sample results on a small test collection are given.

关键词： fast Fourier transform image feature extraction image signature content-based retrieval

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An image and video search engine for the World-Wide Web 5

An image and video search engine for the World-Wide Web

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conference on storage and retrieval for image and video databases V

作者： Smith, JR Chang, SF Department of Electrical Engineering Center for Image Technology for New Media Columbia University New York 10027 NY United States

ISBN: (纸本)0819424331

We describe a visual information system prototype for searching for images and videos on the World-Wide Web. New visual information in the form of images, graphics, animations and videos is being published on the Web at an incredible rate. However, cataloging this visual data is beyond the capabilities of current text-based Web search engines. In this paper, we describe a complete system by which visual information on the Web is (1) collected by automated agents, (2) processed in both text and visual feature domains, (3) catalogued and (4) indexed for fast search and retrieval. We introduce an image and video search engine which utilizes both text-based navigation and content-based technology for searching visually through the catalogued images and videos. Finally, we provide an initial evaluation based upon the cataloging of over one half million images and videos collected from the Web.

关键词： content-based visual query image and video storage and retrieval World-Wide Web

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