Color is one of the most widely used features for image similarity retrieval. Most of the existing image similarity retrieval schemes employ either global or local color histogramming. In this paper, we explore the us...
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ISBN:
(纸本)0819427527
Color is one of the most widely used features for image similarity retrieval. Most of the existing image similarity retrieval schemes employ either global or local color histogramming. In this paper, we explore the use of localized dominant hue and saturation values for color-based image similarity retrieval. This scheme results in a relatively compact representation of color images for similarity retrieval. Experimental results comparing the proposed representation with global and local color histogramming are presented to show the efficacy of the suggested scheme.
In this paper me present a framework for content based query and retrieval of information from large videodatabases. This framework enables content based retrieval of video sequences by characterizing the sequences u...
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ISBN:
(纸本)0819424331
In this paper me present a framework for content based query and retrieval of information from large videodatabases. 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 accuracy in this parameter space. Using this characterization, we then evolve a set of discriminators using Genetic Programming. Experiments indicate that these discriminators are capable of analyzing and characterizing video. 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.
We study the problem of retrieving images using a small template. The goal is to allow a user to search for images containing a pattern similar to the template, adding to the capability of a search engine. We propose ...
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ISBN:
(纸本)0819424331
We study the problem of retrieving images using a small template. The goal is to allow a user to search for images containing a pattern similar to the template, adding to the capability of a search engine. We propose to employ a segmentation-based approach. As a specific example, we introduce a quadtree segmentation technique for textured images and a distance measure, Sum of Minimum Distance, suitable for template-based imageretrieval applications.
In this paper we show how agent-like processes may be used to support content based retrieval and navigation in MAVIS, a Multimedia architecture for video, image and Sound. The processes provide automatic classificati...
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ISBN:
(纸本)0819427527
In this paper we show how agent-like processes may be used to support content based retrieval and navigation in MAVIS, a Multimedia architecture for video, image and Sound. The processes provide automatic classification of feature vectors from users' selections when a multimedia thesaurus(MMT) is present and feature vector clustering in the absence of an MMT.
This paper presents a novel approach for videoretrieval from a large archive of MPEG or Motion JPEG(1) compressed video clips. We introduce a retrieval algorithm that takes a video clip as a query and searches the da...
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ISBN:
(纸本)0819424331
This paper presents a novel approach for videoretrieval from a large archive of MPEG or Motion JPEG(1) compressed video clips. We introduce a retrieval algorithm that takes a video clip as a query and searches the database for clips with similar contents. video clips are characterized by a sequence of representative frame signatures, which are constructed from DC coefficients and motion information (''DC+M'' signatures). The similarity between two video clips is determined by using their respective signatures. This method facilitates retrieval of clips for the purpose of video editing, broadcast news retrieval, or copyright violation detection.
The development of increasingly complex multimedia applications calls for new methodologies for the organization and retrieval of still images and video sequences. Query and retrieval methods based on image content pr...
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ISBN:
(纸本)0819424331
The development of increasingly complex multimedia applications calls for new methodologies for the organization and retrieval of still images and video sequences. Query and retrieval methods based on image content promise good results, are currently widely investigated and, to some extent, already commercially available. Yet a large number of issues remain unsolved. In this paper we describe some results of a study on similarity evaluation in imageretrieval using color, object orientation and relative position as content features. A simple prototype system is also introduced that computes the feature descriptors and performs queries. Although not trivial, the features extraction process is completely automated and requires no user intervention. The system is admittedly not a general purpose tool, but is oriented to thematic image repositories where the semantics of stored images are limited to a specific domain.
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 videoretrieval. Text-based hierarchical structures are u...
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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 videoretrieval. 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 videoretrieval. 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.
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 re...
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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.
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 multim...
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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.
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 sym...
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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.
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