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7th storage and retrieval for image and video databases conference

作者： Demko, S Khosravi, M Chen, K Iterated Syst Inc Atlanta GA 30305 USA

ISBN: (纸本)0819431273

the Fractal Transform (FT) was originally introduced as a methodology for compressing digital images and representing them at different scales. the process of calculating an FT generates a great dear of information about the affine similarities and dissimilarities of an image, most of which is discarded in compression applications. In this paper we introduce the concept of Fractal Transform Analysis and use it to derive new image descriptors. We present results of experiments in which description schemes comprised of some of these FT-based descriptors are applied to the problems of finding objects in an image similar to a given object, of indexing images, and of querying an image database consisting of about 17,000 images. Complexity and timing data are also presented.

关键词： image databases content-based indexing and retrieval descriptor scheme image descriptor fractal transform

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Eigendecomposition-based analysis of video images

Eigendecomposition-based analysis of video images

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7th storage and retrieval for image and video databases conference

作者： Chang, CY Maciejewski, AA Balakrishnan, V Purdue Univ Sch Elect & Comp Engn W Lafayette IN 47907 USA

ISBN: (纸本)0819431273

We present a fast algorithm for computing the singular value decomposition (SVD) of a matrix consisting of the frames from a video sequence. the computational efficiency of this algorithm derives from the observation that portions of a video sequence will consist of sets of correlated frames. We then show that the information obtained from the SVD can be used to analyze video sequences to obtain information such as scene breaks, scene query, reduced-order shot representation and key frame determination. We illustrate this approach on several video sequences.

关键词： eigenimages eigendecomposition singular value decomposition (SVD) video analysis

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Automated semantic structure reconstruction and representation generation for broadcast news

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Proceedings of SPIE - the International Society for Optical Engineering 1999年 3656卷 50-62页

作者： Huang, Qian Liu, Zhu Rosenberg, Aaron AT&T Labs - Research Red Bank United States

this paper addresses the problem of recovering the semantic structure of broadcast news. A hierarchy of retrievable units is automatically constructed by integrating information from different media. the hierarchy provides a compact yet meaningful abstraction of the broadcast news data similar to a conventional table of content that can serve as an effective index table, facilitating the capability of browsing through large amounts of data in a non-linear fashion. the recovery of the semantic structure of the data further enables the automated solutions in constructing visual representations that are relevant to the semantics as well as in establishing useful relationships among data units such as topic categorization and content based multimedia hyperlinking. Preliminary experiments of integrating different media for hierarchical segmentation of semantics have yielded encouraging results. Some of the results are presented and discussed in this paper.

关键词： image reconstruction

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Augmented image histogram for image and video similarity search

Augmented image histogram for image and video similarity sea...

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7th storage and retrieval for image and video databases conference

作者： Chen, Y Wong, EK Polytech Univ Dept Informat & Comp Sci Brooklyn NY 11201 USA

ISBN: (纸本)0819431273

image histogram is an image feature widely used in content-based image retrieval and video segmentation. It is simple to compute yet very effective as a feature in detecting image-to-image similarity, or frame-to-frame dissimilarity. While the image histogram captures the global distribution of different intensities or colors well, it does not contain any information about the spatial distribution of pixels. In this paper, we propose to incorporate spatial information into the image histogram by computing features from the spatial distance between pixels belonging to the same intensity or color. In addition to the frequency count of the intensity or color, the mean, variance, and entropy of the distances are computed to form an Augmented image Histogram. Using the new feature, we preformed experiments on a set of color images and a color video sequence. Experimental results demonstrate that the Augmented image Histogram performs significantly better than the conventional color histogram, both in image retrieval and video shot segmentation.

关键词： content-based image retrieval video shot segmentation augmented image histogram similarity search spatial information

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image retrieval system based on interactive reduction of feature space

Image retrieval system based on interactive reduction of fea...

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7th storage and retrieval for image and video databases conference

作者： Kobayashi, A Yoshida, T Sakai, Y Tokyo Inst Technol Fac Engn Tokyo 1528552 Japan

ISBN: (纸本)0819431273

this paper proposes an image retrieval system which searches a database for images similar to a target, imagined by a user. the system uses image features, rather than keywords, and retrieves images by reducing a multidimensional feature space generated by the image feature vectors. First, the system presents the user some sample images with a suitable feature vector value and requires the user's interaction to obtain information on which image is similar to the target he/she has in his/her mind. then, the information is used to appropriately reduce the feature space. this process is continued until the target region is reduced to a suitable volume. Since this method requires neither real target image nor keywords in retrieving, it is quite simple and practical. Experimental results show the advantage and efficiency of the proposed system.

关键词： image database image retrieval feature space interactive retrieval

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Choosing efficient feature sets for video classification

Choosing efficient feature sets for video classification

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7th storage and retrieval for image and video databases conference

作者： Fischer, S Steinmetz, R Tech Univ Darmstadt Dept Elect Engn & Informat Technol Ind Proc & Syst Commun D-64283 Darmstadt Germany

ISBN: (纸本)0819431273

In this paper we address the problem of choosing appropriate features to describe the content of still pictures or video sequences including audio. As the computational analysis of these features is often time-consuming it is useful to identify a minimal set allowing for an automatic classification of some class or genre. Further it can be shown that deleting the coherence of the features characterizing some class is not suitable to guarantee an optimal classification result. the central question of the paper is thus which features should be selected and how they should be weighted to optimize a classification problem.

关键词： content processing automatic video classification video analysis audio analysis

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Fast video segmentation using encoding cost data

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Proceedings of SPIE - the International Society for Optical Engineering 1999年 3656卷 699-709页

作者： De Queiroz, Ricardo L. Bozdagi, Gozde Sencar, Taha Xerox Corp Webster 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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Interfaces for emergent semantics in multimedia databases

Interfaces for emergent semantics in multimedia databases

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7th storage and retrieval for image and video databases conference

作者： Santini, S Jain, R Univ Calif San Diego Visual Comp Lab La Jolla CA 92093 USA

ISBN: (纸本)0819431273

In this paper we introduce our approach to multimedia database interfaces. Although we deal mainly with image databases, most of the ideas we present can be generalized to other types of data. We argue that, when dealing with complex data, such as images, the problem of access must be redefined along different lines than text databases. In multimedia databases, the semantics of the data is imprecise, and depends in part on user's interpretation. this observation made us consider the development of interfaces in which the user explores the database rather than querying it. In this paper we give a brief justification of our position and present the exploratory interface that we have developed for our image database El nino.

关键词： human machine interfaces image databases emergent semantics interaction

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Semantic feature extraction for interior environment understanding and retrieval

Semantic feature extraction for interior environment underst...

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7th storage and retrieval for image and video databases conference

作者： Lei, ZB Liang, YF AT&T Bell Labs Lucent Technol Murray Hill NJ 07974 USA

ISBN: (纸本)0819431273

In this paper we propose a novel system of semantic feature extraction and retrieval for interior design and decoration application. the system, (VID)-I-2 (Virtual Visual Interior Design), uses colored texture and spatial edge layout to obtain simple information about global room environment. We address the domain specific segmentation problem in our application and present techniques for obtaining semantic features from a room environment. Sire also discuss heuristics for making use of these features (color, texture, edge layout and shape) to retrieve objects from an existing database. the final resynthesized room environment with original scene and objects from database is created for the purpose of animation and virtual walk-through.

关键词： image understanding content based image retrieval segmentation colored-texture processing image based rendering image synthesis

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

Content-based live video retrieval by telop character recogn...

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7th storage and retrieval for image and video databases conference

作者： Takahata, M Kuwano, H Kurakake, S Matsuda, C Nishimura, K Nippon Telegraph & Tel Corp Human Interface Labs Musashino Tokyo 1808585 Japan

ISBN: (纸本)0819431273

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 content-based retrieval telop character recognition automatic video indexing

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