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Content-based live video retrieval by telop character recognition: TV-on-demand

Proceedings of SPIE - The International Society for Optical Engineering 1999年 3656卷 120-130页

作者： Takahata, Minoru Kuwano, Hidetaka Kurakake, Shoji Matsuda, Chikashi Nishimura, Kazutoshi NTT Human Interface Lab Tokyo Japan

We have developed a TV-on-demand system that provides playback of a television program after a period ranging from a few seconds to one week after broadcast, and have conducted usage trials in cooperation with a television station in Nagano Prefecture of Japan. This system has been achieved through the development of various technologies such as automatic updating of stored television programs and contents retrieval by telop characters. Users in the trials can begin playback of a television program immediately after its broadcast has begun. The purpose of the trials was to evaluate the system's usability in applications such as contents retrieval, selective viewing of commercials, and customer service at the television station. This paper presents applied technologies and some experimental results and also addresses a new direction of information retrieval system based on the evaluation of the usage trials.

关键词： video on demand

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image content retrieval from image databases using feature integration by Choquet integral

Image content retrieval from image databases using feature i...

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7th storage and retrieval for image and video databases Conference

作者： Popescu, M Gader, P Univ Missouri Med Informat Grp Columbia MO 65201 USA

ISBN: (纸本)0819431273

A novel similarity measure based on the Choquet integral was introduced for retrieving images from a image database that "mostly" fit the query image. We showed that in certain conditions the measure is a norm, a fact that can be used to reduce the searching time using the triangle inequality. To test the new measure, a content based image retrieval system was built. The system was benchmarked against the visual retrieval cartridge, virage, built into Oracle 8 database system. The results suggested that the new measure is useful for image retrieval.

关键词： image database Choquet integral similarity measure OWA Oracle 8

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User interface framework for image searching

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Proceedings of SPIE - The International Society for Optical Engineering 1999年 3656卷 573-580页

作者： Brewer Jr., Orlie T. Boeing Co Seattle United States

This paper describes an API for image searching. The attempt was to isolate the functionality of the GUI from the functionality of the image search engine. The GUI would then make calls to the image search API and could be used with any image search engine implementing that API. Also, different methods of specifying the initial search image are discussed as well as different methods of displaying the results, including the use of 3D using VRML.

关键词： Graphical user interfaces

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MULTIRESOLUTION video INDEXING FOR SUBBAND CODED video databases 2

MULTIRESOLUTION VIDEO INDEXING FOR SUBBAND CODED VIDEO DATAB...

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Conference on storage and retrieval for image and video databases II

作者： LEE, JW DICKINSON, BW PRINCETON UNIV DEPT ELECT ENGNPRINCETONNJ 08544

ISBN: (纸本)0819414808

In this paper we present a multiresolution approach for video indexing and feature matching of subband coded video databases. Subband coding refers to a coding technique where the input images are quantized after being decomposed into several narrow spatial frequency bands by filtering and decimation. Five different approaches were tested for scene change detection which is applied only on the lowest subband for computational efficiency. Two kinds of scene changes, abrupt and smoothly accumulated scene changes, mark the beginning of new scene segments. An index for each scene segment is the histogram of two representative frames, which we take to be the first and the last frame of the scene for simplicity. Using the approach of query by example, the index matching algorithm takes a multi-resolution approach by hierarchically comparing histograms at different resolutions. The search algorithm for the match between example query and its target scene segment starts from the coarsest resolution, and moves to the next finer resolution until a single match is obtained or the finest resolution is reached. Experimental results are presented, and the proposed indexing technique appears to be promising for its computational efficiency and its inherent hierarchical search procedure.

关键词： video Distance measurement image segmentation databases Linear filtering Motion measurement Detection and tracking algorithms Electronic filtering video compression image filtering

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Navigating from images using generic links based on image content 5

Navigating from images using generic links based on image co...

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Conference on storage and retrieval for image and video databases V

作者： Lewis, PH Kuan, J Perry, ST Dobie, MR Davis, HC Hall, W Univ. of Southampton (United Kingdom)

ISBN: (纸本)0819424331

Although content based retrieval of images is increasingly common, the use of media content as a basis for navigation has received relatively little attention. In this paper we describe our recent development of facilities in the MAviS/Microcosm architecture for generic link authoring and following from non-text media and in particular, the use of shape and texture for content based navigation from images. Applications from a product catalogue and an archaeological collection are presented, together with an outline of an image viewer providing rapid delineation of object shapes in images when authoring or following links.

关键词： content based retrieval content based navigation information retrieval

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Efficient video sequence retrieval in large repositories

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Proceedings of SPIE - The International Society for Optical Engineering 1999年 3656卷 108-119页

作者： Sundaram, Hari Chang, Shih-Fu Columbia Univ New York United States

This paper presents algorithms to deal with problems associated with indexing high-dimensional feature vectors that characterize video data. Indexing high dimensional vectors is well known to be computationally expensive. Our solution is to optimally split the high dimensional vector into a few low dimensional feature vectors and querying the system for each feature vector. This involves solving an important sub-problem: developing a model of retrieval that enables us to query the system efficiently. Once we formulate the retrieval problem in terms of a retrieval model, we present an optimality criterion to maximize the number of results using this model. The criterion is based on a novel idea of using the underlying probability distribution of the feature vectors. A branch-and-prune strategy optimized per each query, is developed. This uses the set of features derived from the optimality criterion. Our results show that the algorithm performs well, giving a speedup of a factor of 25 with respect to a linear search while retaining the same level of Recall.

关键词： Feature extraction

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video classification using speaker identification 5

Video classification using speaker identification

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Conference on storage and retrieval for image and video databases V

作者： Patel, NV Sethi, IK Wayne State Univ. (United States)

ISBN: (纸本)0819424331

video content characterization is a challenging problem in video databases. The aim of such characterization is to generate indices that can describe a video clip in terms of objects and their actions in the clip. Generally, such indices are extracted by performing image analysis on video clips. Many such indices can also be generated by analyzing the embedded audio information of video clips. Indices pertaining to context, scene emotion, and actors or characters present in a video dip appear especially suitable for generation via audio analysis techniques of keyword spotting, and speech and speaker recognition. In this paper, we examine the potential of speaker identification techniques for characterizing video clips in terms of actors present in them. We describe a three-stage processing system consisting of a shot boundary detection stage, an audio classification stage, and a speaker identification stage to determine the presence of different actors in isolated shots. Experimental results using the movie Few Good Men are presented to show the efficacy of speaker identification for labeling video clips in terms of persons present in them.

关键词： video indexing speaker identification nearest neighbor classification cepstral coefficients audio classification

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Implementation of video presentation in database systems

Implementation of video presentation in database systems

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Conference on storage and retrieval for Still image and video databases IV

作者： Zhang, AD Multani, S SUNY BUFFALO DEPT COMP SCIBUFFALONY 14260

ISBN: (纸本)0819420441

In order to flexibly and efficiently store, manage, and present video data streams, continuous video data must be chopped into video objects and stored into database. This paper investigates systematic strategies for supporting continuous and synchronized presentation of video data streams in multimedia database systems. Compressed video data streams are segmented and stored as sets of video objects coupled with specified synchronization requirements. Strategies for efficiently scheduling and buffering video objects are presented which guarantee the hiccup-free presentations of video streams. Delay effects are considered in these strategies. We propose to extend the existing object-oriented database system (OODBS) techniques to include the proposed video presentation mechanisms. We are currently designing and implementing a multimedia presentation tool (termed MediaShow) on top of O₂, a well-known OODBS, as a basis for our implementation. However, the design strategies can be generally used in any OODBS environments that support C++ interface.

关键词： multimedia databases video presentation

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imageGREP: Fast visual pattern matching in image databases 5

ImageGREP: Fast visual pattern matching in image databases

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Conference on storage and retrieval for image and video databases V

作者： White, DA Jain, R Univ. of California/San Diego (United States)

ISBN: (纸本)0819424331

Most current image retrieval systems use holistic comparisons that require a global match between images or presegmented object in images. However, often the user of an image database system is interested in a local match between images. For example, ''Find images from the database with something like this anywhere in the image'' or ''Find images with something like this in some region of any image in the database'' or ''Find images with this spatial configuration of regions like this.'' In this paper, we provide an overview of a new framework that should help to allow these types of queries to be answered efficiently. In order to illustrate the usefulness of our framework, we have developed a complete image retrieval system based on local color information. Our system features fully automatic insertion and very efficient query execution, rivaling the efficiency of systems that can only handle global image comparisons. The query execution engine, called the imageGREP Engine, can process queries at a speed of approximately 3000 images per second (or better) on a standard workstation when the index can be stored in main memory. In the future, we believe our framework should be used in other domains and applications, to handle queries based on texture or other material properties and perhaps domain specific image properties.

关键词： content-based image databases image retrieval local image matching visual pattern matching image classifiers

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Object-based video description: From low level features to semantics

Object-based video description: From low level features to s...

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Conference on storage and retrieval for Media databases 2001

作者： Ekin, A Tekalp, AM Mehrotra, R Univ Rochester Dept Elect & Comp Engn Rochester NY 14627 USA

ISBN: (纸本)0819439932

We present a generic model to describe image and video content by a combination of semantic entities and low level features for semantically meaningful and fast retrieval. The proposed model includes semantic entities such as Object, Event and Actors to express relations between title first two. The use of Actors entity increases the efficiency of certain types of search, while the use of semantic and linguistic roles increases the expression capability of the model. The model also contains links to high-level media segments such as actions and interactions, and low level media segments such as elementary motion and reaction units, as well as low-level features such as motion parameters and trajectories. Based on this model, we propose image and video retrieval combining semantic and low-level information. The retrieval performance of our system is tested by using query-by-annotation, query-by-example, query-by-sketch, and a combination of them.

关键词： semantic model video events and objects object motion description elementary motion units elementary reaction units trajectory matching semantic retrieval

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