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storage and retrieval for image and video databases VI conference

作者： Radhakrishnan, P Lewis, PH Univ Southampton Multimedia Res Grp Southampton SO17 1BJ Hants England

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.

关键词： intelligent agents content based retrieval content based navigation neural networks similarity measures thesaurus

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Compact color descriptor for fast image and video segment retrieval

Compact color descriptor for fast image and video segment re...

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conference on storage and retrieval for Media databases 2000

作者： Krishnamachari, S Abdel-Mottaleb, M Philips Res Labs Briarcliff Manor NY 10562 USA

ISBN: (纸本)0819435902

Histograms are the most prevalently used representation for the color content of images and video. An elaborate representation of the histograms requires specifying the color centers of the histogram bins and the count of the number of image pixels with that color. Such an elaborate representation, though expressive, may not be necessary for some tasks in image search, filtering and retrieval. A qualitative representation of the histogram is sufficient for many applications. Such a representation will be compact and greatly simplify the storage and transmission of the image representation. It will also reduce the computational complexity of search and filtering algorithms without adversely affecting the quality. We present such a compact binary descriptor for color representation. This descriptor is the quantized Haar transform coefficients of the color histograms. We show the use of this descriptor for fast retrieval of similar images and search for similar video segments from a large database. We also show the use of this descriptor for browsing large image databases without the need for computationally expensive clustering algorithms. The compact nature of the descriptor and the associated simple similarity measure allows searching over a database of about four hours of video in less than 5-6 seconds without the use of any sophisticated indexing scheme.

关键词： compact descriptor binary histogram image retrieval video segment matching browsing

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Evolving discriminators for querying video sequences 5

Evolving discriminators for querying video sequences

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conference on storage and retrieval for image and video databases V

作者： Iyengar, G Lippman, AB MIT Media Lab. (United States)

ISBN: (纸本)0819424331

In this paper me 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 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.

关键词： video Genetics databases Computer programming Feature extraction Motion measurement Sensors Visual system Colorimetry Pattern recognition

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video segmentation and classification for content based storage and retrieval using motion vectors

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Proceedings of SPIE - The International Society for Optical Engineering 1999年 3656卷 687-698页

作者： Fernando, W.A.C. Canagaraja, C.N. Bull, D.R. Univ of Bristol Bristol United Kingdom

video parsing is an important step in content-based indexing techniques where the input video is decomposed into segments with uniform content. In video parsing detection of scene changes is one of the approaches widely used for extracting key frames from the video sequence. In this paper, an algorithm based on motion vectors is proposed to detect sudden scene changes and gradual scene changes (camera movements such as panning, tilting and zooming). Unlike some of the existing schemes, the proposed scheme is capable of detecting both sudden and gradual changes in uncompressed as well as compressed domain video. It is shown that the resultant motion vector can be used to identify and classify gradual changes due to camera movements. Results show that algorithm performed as well as the histogram-based schemes with uncompressed video. The performance of the algorithm was also investigated with H.263 compressed video. The detection and classification of both sudden and gradual scene changes was successfully demonstrated.

关键词： image segmentation

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The design and implementation of an experimental video database system for supporting video retrieval from different perspectives 5

The design and implementation of an experimental video datab...

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conference on storage and retrieval for image and video databases V

作者： Salam, S Hall, W Department of Electronics and Computer Science University of Southampton United Kingdom

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 video retrieval. 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 video retrieval. 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.

关键词： Information management

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Morphological approach to scene change detection and digital video storage and retrieval

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Proceedings of SPIE - The International Society for Optical Engineering 1999年 3656卷 733-743页

作者： Kim, Woonkyung M. Song, S.Moon-Ho Kim, Hyeokman Song, Cheeyang Kwon, Byung Woong Kim, Sun Geun Korea Univ Seoul Korea Republic of

With the abstraction of digital video as the corresponding binary video- a process which upon numerous subjective experimentation seems to preserve (most of the) intelligibility of video content- we can pursue a precise and analytic approach to (digital video storage and retrieval) algorithm design that are based upon geometrical (morphological) intuition. The foremost and tangible general benefit of such abstraction, however, is the immediate reductions of both data and computational complexities involved in implementing various algorithms and databases. The general paradigm presented may be utilized to address all issues pertaining to video library construction including visualization, optimum feedback query generation, object recognition, e.t.c., but the primary focus of attention in this paper are the ones pertaining to detection of fast (including presence of flashlights) and gradual scene changes (such as dissolves, fades, and various special effects such as wipes). Upon simulation we observed that we can achieve performances comparable to those of others with drastic reductions in both storage and computational complexities. Furthermore, since the conversion from grayscale to binary videos can be performed directly (with minimal additional computation) in the compressed domain by thresholding on the DCT DC coefficients themselves (or by using the contour information attached to MPEG4 formats), the algorithms presented herein are ideally suited for performing fast (on-the-fly) determinations of scene change, object recognition and/or tracking, and other more intelligent tasks traditionally requiring heavy demand on computational and/or storage complexities. The fast determinations may then be used on their own merits or can be used in conjunction or complementation with other higher-layer information in the future.

关键词： video signal processing

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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...

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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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Adaptive synthesis in progressive retrieval of audio-visual data

Adaptive synthesis in progressive retrieval of audio-visual ...

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1st IEEE International conference on Multimedia and Expo (ICME2000)

作者： Smith, JR Li, CS IBM Corp TJ Watson Res Ctr Hawthorne NY 10532 USA

ISBN: (纸本)0780365364

With the advent of pervasive computing, a growing diversity of client devices is gaining access to audio-visual content. The increased variability in client device processing power, storage, bandwidth, and server loading require adaptive solutions for image, video and audio retrieval. Progressive retrieval is one prominent mode of access in which views at different resolutions are incrementally retrieved and refined over time. In this paper, we present a new framework for adaptively partitioning the synthesis operations in progressive retrieval of audio-visual signals. The framework considers that the server and client cooperate in synthesizing the views in order to best utilize the available processing power and bandwidth. We provide experimental results that demonstrate a significant reduction in latency in the progressive retrieval of images under different conditions of the client, server and network.

关键词： image and video databases progressive retrieval pervasive computing wavelets

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

Video retrieval by still image analysis with ImageMiner(TM)

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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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Proceedings of SPIE - The International Society for Optical Engineering 1999年 3656卷 643-652页

作者： Chen, Keshi Demko, Stephen Xie, Ruifeng Iterated Systems Inc Atlanta United States

The color hologram of an image has been widely used as a feature descriptor for the image in content-based retrieval applications. In this paper, some results from our investigation efforts into to usage are reported. We outline three typical color space quantization schemes used in our experiments and introduce the soft-decision histogramming method to eliminate the discontinuity problem in traditional color histogram population process. Then, to improve the effectiveness of color histogram based retrieval algorithms, several similarity metrics are proposed for comparing color histograms, including three special forms of the Kantorovich metric.

关键词： Feature extraction

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