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5th International Conference on Information Technology - New Generations

作者： Smith, Mark Khotanzad, Alireza So Methodist Univ Dept Elect Engn Dallas TX 75275 USA

ISBN: (纸本)9780769530994

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： Database systems

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Efficient Indexing and storage Algorithm for Visual databases

Efficient Indexing and Storage Algorithm for Visual Database...

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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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Extracting key postures in a human action video sequence

Extracting key postures in a human action video sequence

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IEEE Workshop on Multimedia Signal Processing

作者： Yan Chen Qiang Wu Xiangjian He Chunhua Du Jie Yang Falculty of Information Technology Sydney University of Technology Broadway NSW Australia Falculty of Information Technology University of Technology-Sydney Broadway NSW Australia Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China

ISBN: (纸本)9781424422944

Human key posture extraction from videos will benefit video storage, video retrieval, human action recognition, human behaviour understanding and so on. This paper presents an approach to select key postures from human action sequences using 2D information. There are two steps in the proposed method. Information measurement which is a kind of global feature of a frame is used to roughly find key posture candidates. Then, a body skeleton feature which is a kind of local feature is applied to select final key postures from the candidates obtained in the first step. The experiments show that the proposed method is efficient.

关键词： Humans Data mining databases Equations Shape Conferences Distance measurement

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An experimental study of alternative shape-based image retrieval techniques

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MULTIMEDIA TOOLS AND APPLICATIONS 2007年第1期32卷 29-48页

作者： Shahabi, Cyrus Safar, Maytham Univ So Calif Dept Comp Sci Integrated Media Syst Ctr Los Angeles CA 90089 USA Kuwait Univ Dept Comp Engn Kuwait Kuwait

Besides traditional applications (e.g., CAD/CAM and Trademark registry), new multimedia applications such as structured video, animation, and MPEG-7 standard require the storage and management of well-defined objects. These object databases are then queried and searched for different purposes. A sample query might be "find all the scenes that contain a certain object." Shape of an object is an important feature for image and multimedia similarity retrievals. Therefore, in this study we focus on shape-based object retrieval and conduct a comparison study on four of such techniques (i.e., Fourier descriptors, grid based, Delaunay triangulation, and our proposed MBC-based methods (e.g., MBC-TPVAS)). We measure the effectiveness of the similarity retrieval of the four different shape representation methods in terms of recall and precision. Our results show that the similarity retrieval accuracy of our method (MBC-TPVAS) is as good as that of the other methods, while it observes the lowest computation cost to generate the shape signatures of the objects. Moreover, it has low storage requirement, and a comparable computation cost to compute the similarity between two shape signatures. In addition, MBC-TPVAS requires no normalization of the objects, and is the only method that has direct support for S-RST query types. In this paper, we also propose a new shape description taxonomy.

关键词： shape representation shape similarity similarity measure image retrieval

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Scalable near identical image and shot detection 07

Scalable near identical image and shot detection

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6th ACM International Conference on image and video retrieval, CIVR 2007

作者： Chum, Ondej Philbin, James Isard, Michael Zisserman, Andrew Department of Engineering Science University of Oxford Microsoft Research Silicon Valley

ISBN: (纸本)1595937331

This paper proposes and compares two novel schemes for near duplicate image and video-shot detection. The first approach is based on global hierarchical colour histograms, using Locality Sensitive Hashing for fast retrieval. The second approach uses local feature descriptors (SIFT) and for retrieval exploits techniques used in the information retrieval community to compute approximate set intersections between documents using a min-Hash algorithm. The requirements for near-duplicate images vary according to the application, and we address two types of near duplicate definition: (i) being perceptually identical (e.g. up to noise, discretization effects, small photometric distortions etc);and (ii) being images of the same 3D scene (so allowing for viewpoint changes and partial occlusion). We define two shots to be near-duplicates if they share a large percentage of near-duplicate frames. We focus primarily on scalability to very large image and video databases, where fast query processing is necessary. Both methods are designed so that only a small amount of data need be stored for each image. In the case of near-duplicate shot detection it is shown that a weak approximation to histogram matching, consuming substantially less storage, is sufficient for good results. We demonstrate our methods on the TRECVID 2006 data set which contains approximately 165 hours of video (about 17.8M frames with 146K key frames), and also on feature films and pop videos. Copyright 2007 ACM.

关键词： image analysis

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A Novel Prototype for Documentation and retrieval of 3D Objects

A Novel Prototype for Documentation and Retrieval of 3D Obje...

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International Conference on image Analysis and Processing Workshops (ICIAPW)

作者： Efstathios Onasoglou Athanasios Mademlis Dimitrios Katsikas Petros Daras Michael Strintzis Informatics and Telematics Institute Centre for Research and Technology Hellas Greece Altanet SA Thessaloniki Greece Information Processing Labaratory Department of Electrical & Computer Engineering Aristotle University of Thessaloniki Greece

In this paper a working multimedia asset management system is presented which provides the means for storage, annotation, retrieval and re-use of any multimedia data such as 3D objects, images, sound, video and text. The working prototype is modular, customizable, secure, offers intranet and Internet connectivity and also software inter-operability as it can be compatible with various well- known, established database and ontology standards. The main innovative aspects of the proposed system are the efficient combination of the semantic aspects with multimedia data and the retrieval engine of the system which combines state-of-the-art 3D content-based algorithms and novel semantic driven, relevance feedback methods.

关键词： Prototypes Documentation Multimedia systems image storage Information retrieval Multimedia databases Asset management image retrieval Software prototyping Internet

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Content-based search and browsing in semantic multimedia retrieval

Content-based search and browsing in semantic multimedia ret...

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作者： Rautiainen, Mika University of Oulu

学位级别：博士

Growth in storage capacity has led to large digital video repositories and complicated the discovery of specific information without the laborious manual annotation of data. The research focuses on creating a retrieval system that is ultimately independent of manual work. To retrieve relevant content, the semantic gap between the searchers information need and the content data has to be overcome using content-based technology. Semantic gap constitutes of two distinct elements: the ambiguity of the true information need and the equivocalness of digital video data. The research problem of this thesis is: what computational content-based models for retrieval increase the effectiveness of the semantic retrieval of digital video? The hypothesis is that semantic search performance can be improved using pattern recognition, data abstraction and clustering techniques jointly with human interaction through manually created queries and visual *** results of this thesis are composed of: an evaluation of two perceptually oriented colour spaces with details on the applicability of the HSV and CIE Lab spaces for low-level feature extraction; the development and evaluation of low-level visual features in example-based retrieval for image and video databases; the development and evaluation of a generic model for simple and efficient concept detection from video sequences with good detection performance on large video corpuses; the development of combination techniques for multi-modal visual, concept and lexical retrieval; the development of a cluster-temporal browsing model as a data navigation tool and its evaluation in several large and heterogeneous collections containing an assortment of video from educational and historical recordings to contemporary broadcast news, commercials and a multilingual television broadcast. The methods introduced here have been found to facilitate semantic queries for novice users without laborious manual annotation. Cluster-temporal browsi

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Designing a new storage technique for face images transmission using JPEG2000

Designing a new storage technique for face images transmissi...

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8th International Conference Advanced Communication Technology, ICACT 2006

作者： Huang, Hsiu-Mei You, Geeng-Neng Syu, Fu-Song Liaw, Shu-Sheng Department of Management Science National Tai-Chung Institute of Technology 129 Saming Rd. Taichung 404 Taiwan Department of Multimedia Design National Tai-Chung Institute of Technology 129 Saming Rd. Taichung 404 Taiwan General Education Center China Medical University 91 Shiuesh Rd. Taichung 404 Taiwan

ISBN: (纸本)8955191294

Pictures and video sequences showing human faces are of high importance in content-based retrieval systems. During flourishing Internet time, more and more human face image databases are stored on the Internet. They provide a great number of human face images to access. Therefore, considering the storage space and the network bandwidth, how to access human face image more efficiently has become an important topic. The primary goal of our method is to minimize the number of bits required to preserve the crucial facial features without any loss of information. In this paper, we propose a new technique based on JPEG2000 for the storage and retrieval of the human face images. We combine lossy and lossless image compression of JPEG2000 to reach our goal. Aiming at the feature of human face image data, we will extract the facial features in the image as the most important information. The lossless image compression is used to retain the facial features of human face image. The background and the rest of the image are processed by lossy compression to further save the required storage space. The preliminary result has shown that our method can have higher compression ratio without loss of the crucial facial feature for low bandwidth communication applications, such as videophone and teleconferencing.

关键词： image communication systems

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Smart search & retrieval on video databases

Smart search & retrieval on video databases

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IEEE International Conference on Consumer Electronics (ICCE)

作者： A.H.R. Albers R.G.J. Wijnhoven E.G.T. Jaspers P.H.N. de With Eindhovan University of Technology Eindhoven Netherlands Logica-CMG Eindhoven Netherlands

A system for fast searching in video databases is proposed, exploiting the location data of tracking algorithms. A key advantage is the sampling of object behavior independent of the frame rate, resulting in a very efficient storage. Results show that the search time on large video data sets significantly reduces, compared to traditional methods

关键词： Information retrieval video compression video surveillance image databases Filtering algorithms Data security Sampling methods Bit rate Content management Indexing

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Exploration using a commercially available database for the identification of video images scenes

Exploration using a commercially available database for the ...

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IEEE International Symposium on Industrial Electronics (ISIE)

作者： Horia Ilie Alain April Harald Kosch Christian Hofbauer Pierre Bourque Ecole de Technologie Supérieure Montreal Canada Institute of Information Technology University of Klagenfurt Austria

This paper investigates image vector attributes weights in order to detect a scene change in a video. Another objective is the development of an MPEG-7 library for annotating and presenting MPEG-7 documents. The contributions of this paper are: an exploration of the limits of scene identification technique, using the Oracle 10 g database, describing an annotation technique to generate MPEG-7 annotations

关键词： image databases Layout Multimedia databases MPEG 7 Standard Java XML Software libraries Content management Information retrieval image storage

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