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A generic annotation model for video databases 3rd

A generic annotation model for video databases

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3rd International conference on visual Information Systems, vISUAL 1999

作者： Rehatschek, Herwig Müller, Heimo Institute of Information Systems JOANNEUM RESEARCH Steyrergasse 17 GrazA-8010 Austria Word and Image studies Vrije Universiteit Amsterdam de Boelelaan 1105 Amsterdam1081 HV Netherlands

ISBN: (纸本)3540660798

The change from analogue broadcasting to digital MPEG-2 channels among the satellite programs resulted in new demands on video databases and archives. Digital archives offer on the one hand a reduction of storage costs, and enable on the other hand easy reuse of already existing material. However, searching for appropriate film material in large archives is still a tedious problem. This paper describes a generic annotation model for MPEG movies which enables the user to structure the film in as many hierarchical levels as needed and to annotate any physical or logical part of the film with generic definable attributes. The model was implemented in prototype system which additionally offers a query and ordering facility per web browser and Internet. © Springer-verlag Berlin Heidelberg 1999.

关键词： video recording

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Efficient Indexing and storage Algorithm for visual databases

Efficient Indexing and Storage Algorithm for Visual Database...

引用

International conference on Information Technology: New Generations (ITNG)

作者： Mark Smith Alireza Khotanzad Department of Electrical Engineering Southern Methodist University Dallas TX USA

A novel approach pertaining to the fast and efficient retrieval and storage of video sequences utilizing MPEG-1/2 motion vectors is presented in this paper. A clip first must be segmented into consistent video segments based on the basic editing effects - cuts, dissolves, and wipes. All group of pictures (GOPs) are then extracted from the clip and decomposed further into I-frames and P-frames (B-frames are disregarded). The initial frame of the sequence is manually segmented into objects, and the selected objects are automatically tracked through the entire sequence using MPEG-1/2 motion vectors. Features pertaining to the edge histogram are extracted from each tracked object (I/P frames only) and then maintained with the associated frame. An example image or video clip is then presented to the system and the 5 best matching images are retrieved. Results are shown for the standard video sequences such as foreman, tennis, etc.

关键词： Indexing visual databases image segmentation image coding video compression Spatial databases Transform coding Information retrieval video sequences image databases

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Dimensionality reduction for similarity searching in dynamic databases

Dimensionality reduction for similarity searching in dynamic...

引用

Proceedings of the ACM SIGMOD International conference on Management of Data

作者： Kanth, K.v.Ravi Agrawal, Divyakant Singh, Ambuj Univ of California at Santa Barbara Santa Barbara United States

databases are increasingly being used to store multi-media objects such as maps, images, audio and video. storage and retrieval of these objects is accomplished using multi-dimensional index structures such as R*-trees and SS-trees. As dimensionality increases, query performance in these index structures degrades. This phenomenon, generally referred to as the dimensionality curse, can be circumvented by reducing the dimensionality of the data. Such a reduction is however accompanied by a loss of precision of query results. Current techniques such as QBIC use SvD transform-based dimensionality reduction to ensure high query precision. The drawback of this approach is that SvD is expensive to compute, and therefore not readily applicable to dynamic databases. In this paper, we propose novel techniques for performing SvD-based dimensionality reduction in dynamic databases. When the data distribution changes considerably so as to degrade query precision, we recompute the SvD transform and incorporate it in the existing index structure. For recomputing the SvD-transform, we propose a novel technique that uses aggregate data from the existing index rather than the entire data. This technique reduces the SvD-computation time without compromising query precision. We then explore efficient ways to incorporate the recomputed SvD-transform in the existing index structure without degrading subsequent query response times. These techniques reduce the computation time by a factor of 20 in experiments on color and texture image vectors. The error due to approximate computation of SvD is less than 10%.

关键词： Distributed database systems

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Spatial video retrieval based on the piecewise method

Spatial video retrieval based on the piecewise method

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International conference on Advanced Information Networking and Applications (AINA)

作者： Yung Kuan-Chan Chin-Chen Chang Department of Management Information System National Chung Hsing University Taichung Taiwan Department of Computer Science and Information Engineering National Chung Cheng University Chiayi Taiwan

The similarity video retrieval problem is traditionally solved by calculating all the possible distances of image matching between each frame v in the database video frame sequences and each frame q in the query frame sequence. Obviously, it is a time-consuming strategy. This paper offers a new technique called the piecewise method to overcome this drawback. The basic concept of this method is that the image matching distance between the pair of frames q and v is computed only if q is similar to v. In most cases, the executive time of this method is less than that of traditional methods. However, the piecewise method cannot accurately retrieve the videos satisfying the requirement of the query frame sequence from the database. This paper provides another more precise video retrieval method based on video shot, that is the piecewise refinement method, to remedy this shortcoming. It is a revision of the piecewise method. Experimental results show that the piecewise refinement method gives an impressive performance not only in processing time but also in storage space.

关键词： image matching image retrieval Information retrieval video sharing Cameras Gunshot detection systems Management information systems Computer science image databases video sequences

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Experience of Animate Similarity Concepts in Multimedia Database

Experience of Animate Similarity Concepts in Multimedia Data...

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International conference on Data Engineering Workshops

作者： M. Albanese A. Chianese v. Moscato A. Picariello Dipartimento di Informatica e Sistemistica University of Naples Federico II Naples Italy

This paper describes and reports an experience related to several applications of the Animate vision Paradigm to query processing and indexing in multimedia databases. In particular we show as two main problems related to video and image databases may be usefully advantaged by an Animate image Similarity model, namely the video segmentation problem and the image retrieval task in a Query By Example environment.

关键词： Animation Multimedia databases image retrieval image databases image segmentation Indexing Information retrieval Biological system modeling image analysis Humans

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International conference on "Emerging Trends in Robotics and Communication Technologies", INTERACT-2010

作者： Radha Devi, D. Muruga Maheswari, v. Thambidurai, P. Sathyabama University Chennai India PKIET Karaikal India

ISBN: (纸本)9781424490066

A time series database is a collection of data that are generated in series as time goes on and constitutes a large portion of data stored in computers like stock-price movements, weather data, bio-medical measurements, video data etc., Two time sequences of same length are said to be similar if the Euclidean distance is less or equal to a given threshold. The main issue of similarity search in time series databases is to improve the search performance since time sequences are usually of high dimension. So it is important to reduce the search space for efficient processing of similarity search in large time series databases. Popular techniques for efficient retrieval of time sequences in time series databases are DFT, DWT, SvD, PAA, PCA, APCA etc., In this paper we explore the feasibility of using vari-DWT and Polar wavelet with a comprehensive analysis of the two methods as matching functions which can improve the search performance in Recent-Biased time series databases. vari-DWT is fast to compute and requires little storage for each sequence, It preserves Euclidean distance and recency and also allows good approximation with a subset of coefficients. But it shows poor performance for locally distributed time series data which are clustered around certain values since it uses averages to reduce the dimensionality of data. Polar wavelet uses polar co-ordinates which are not affected from averages and so can improve the search performance especially in locally distributed time series databases. Moreover, DWT has the limitation that it works best if the length of time series 2n otherwise it approximates the signal by adding 0 to the right side of the series to make the length to be 2n which distorts the original signal. Polar wavelet works with time sequences of any length without distorting the original signal. The effectiveness of vari-DWT and Polar wavelets are evaluated empirically on real weather data and synthetic datasets. © 2010 IEEE.

关键词： Time series

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Fast video segmentation using encoding cost data

Fast video segmentation using encoding cost data

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Proceedings of the 1999 7th conference of the storage and retrieval for image and video databases vII

作者： De Queiroz, Ricardo L. Bozdagi, Gozde Sencar, Taha Xerox Corp Webster NY United States

This paper presents a simple and effective pre-processing method developed for the segmentation of MPEG compressed video sequences. The proposed method for scene-cut detection only involves computing the number of bits spent for each frame (encoding cost data), thus avoiding decoding the bitstream. The information is separated into I-, P-, B-frames, thus forming 3 vectors which are independently processed by a new peak detection algorithm based on overcomplete filter banks and on joint thresholding using a confidence number. Each processed vector yields a set of candidate frame numbers, i.e. 'hints' of positions where scene-cuts may have occurred. The 'hints' for all frame types are recombined into one frame sequence and clustered into scene cuts. The algorithm was not designed to distintuish among types of cuts but rather to indicate its position and duration. Experimental results show that the proposed algorithm is effective in detecting abrupt scene changes as well as gradual transitions. For precision demanding applications, the algorithm can be used with a low confidence factor just to select the frames that are worth being investigated by a more complex algorithm. The algorithm is not particularly tailored to MPEG and can be applied to most video compression techniques.

关键词： image segmentation

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A fast wavelet packet and PCA based image indexing and authentication method 28

A fast wavelet packet and PCA based image indexing and authe...

引用

2015 28th IEEE Canadian conference on Electrical and Computer Engineering, CCECE 2015

作者： Alzahir, Saif Singh, D. Department of Computer Science UNBC BCV2N4Z9 Canada Computer Science Department UNBC Canada

ISBN: (纸本)9781479958276

The rapid growth in image databases is presenting new research challenges in wide range of areas that span image indexing, image retrieval, authentication, and recognition. This paper presents a new algorithm for image indexing and authentication. Although the combination of wavelet transform and principal components analysis has been used in some image processing areas but they have not been used for image indexing and authentication before. The proposed algorithm is based on the extraction of selected features of images using principal components analysis and wavelet packets. The proposed algorithm addresses three main concerns: (i) search accuracy;(ii) time efficiency;and (iii) storage requirements. We use wavelet packets to decompose the image to its fundamental subbands then we apply PCA method to extract the features of the images. The extracted features are used to create image signatures. We have tested our algorithm on the ORL Database of Faces (the AT&T laboratories Cambridge Database), PIE database, Caltech-UCSD Birds 200 and other miscellaneous images from different sources. We compared our results with two other methods [2] and [13] and found that our method retrieved the query image with 100% efficiency which significantly higher than that of method [13] and it is much faster than both methods. © 2015 IEEE.

关键词： Principal component analysis

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Fast polynomial regression transform for video database

引用

IEEE International conference on image Processing

作者： K.J. Han A.H. Tewfik Department of Electrical and Computer Engineering University of Minnesota MN USA

ISBN: (纸本)0818688211

Important issues in multimedia information systems are the development of efficient storage layout models and effective retrieval system to manage multimedia databases. In multimedia information systems, the capability for interaction with video media type is still extremely limited due to a huge amount of video databases. We present the Fast Polynomial Regression Transform (FPRT) based metadata scheme for manipulating the large video database in the paper. This new metadata scheme provides the simplification of the query mechanism and the improvement of communication in multimedia systems. The main advantage of the proposed approach is the reduction of the data storage space while preserving much video content information. Other advantages are computational simplicity for video information coding and accuracy for video indexing. visual tools for video representation and browsing are also presented.

关键词： Polynomials Multimedia databases Multimedia systems Information retrieval video compression Management information systems Streaming media Space technology Indexing image segmentation

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vORTEX: video retrieval and tracking from compressed multimedia databases-visual search engine

VORTEX: Video retrieval and tracking from compressed multime...

引用

Annual Hawaii International conference on System Sciences (HICSS)

作者： D. Schonfeld D. Lelescu EECS Department University of Illinois Urbana-Champaign Chicago IL USA

Multimedia data is generally stored in compressed form in order to efficiently utilize the available storage facilities. Access to archives is dependent on our ability to browse compressed multimedia information-retrieval and tracking from coded video databases. In this paper, a novel visual search engine for video retrieval and tracking from compressed multimedia databases is proposed. The goal of the project is the implementation of a visual browser that operates in a distributed environment where users initiate video searches and retrieve relevant video information simultaneously from multiple video archives. Being presented with a query in the form of template images of objects, the system operates on the compressed video to find the images or video sequences where those objects are present and their positions in the image. Upon user's request, the system will decompress and display only the video sequences of interest.

关键词： Multimedia databases video compression Information retrieval Search engines videoconference image coding Transform coding Electronic mail visual databases Displays

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