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检索条件"任意字段=Conference on Storage and Retrieval for Image and Video Databases III"

共 344 条记录，以下是121-130 订阅

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Hierarchical clustering algorithm for fast image retrieval

Hierarchical clustering algorithm for fast image retrieval

引用

7th storage and retrieval for image and video databases conference

作者： Krishnamachari, S Abdel-Mottaleb, M Philips Res Labs Briarcliff Manor NY 10510 USA

ISBN: (纸本)0819431273

image retrieval systems that compare the query image exhaustively with each individual image in the database are not scalable to large databases. A scalable search system should ensure that the search time does not increase linearly with the number of images in the database. We present a clustering based indexing technique, where the images in the database are grouped into clusters of images with similar color content using a hierarchical clustering algorithm. At search time the query image is not compared with all the images in the database, but only with a small subset. Experiments show that this clustering based approach offers a superior response time with a high retrieval accuracy. Experiments with different database sizes indicate that for a given retrieval accuracy the search time does not increase linearly with the database size.

关键词： image retrieval color histogram scalable clustering hierarchical

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New anchor selection methods for image retrieval

New anchor selection methods for image retrieval

引用

conference on storage and retrieval for Media databases 2003

作者： Natsev, A Smith, JR IBM Corp TJ Watson Res Ctr Hawthorne NY 10532 USA

ISBN: (纸本)0819448214

Anchoring is a technique for representing objects by their distances to a few well chosen landmarks, or anchors. Objects are mapped to distance-based feature vectors, which can be used for content-based retrieval, classification, clustering, and relevance feedback of images, audio, and video. The anchoring transformation typically reduces dimensionality and replaces expensive similarity computations in the original domain with simple distance computations in the anchored feature domain, while guaranteeing lack of false dismissals. Anchoring is therefore surprisingly simple, yet effective, and flavors of it have seen application in speech recognition, audio classification, protein homology detection, and shape matching. In this paper, we describe the anchoring technique in some detail and study methods for anchor selection, both from an analytical, as well as empirical, standpoint. Most work to date has largely ignored this problem by fixing the anchors to be the entire set of objects or by using greedy selection from among the set of objects. We generalize previous work by considering anchors from outside of the object space, and by deriving an analytical upper bound on the distance-approximation error of the method.

关键词： image retrieval databases Error analysis Feature extraction Vector spaces video image classification Proteins Transform theory Visualization

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Augmented image histogram for image and video similarity search

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

引用

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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video hypermedia authoring using automatic object tracking

Video hypermedia authoring using automatic object tracking

引用

storage and retrieval for image and video databases VI conference

作者： Kanda, J Wakimoto, K Abe, H Tanaka, S Mitsubishi Elect Corp Informat Technol R&D Ctr Kanagawa 247 Japan

ISBN: (纸本)0819427527

video hypermedia systems enable users to retrieve information related to an object by selecting it directly in a video sequence. In video hypermedia systems, users must locate an anchor position according to the motion of the object. But it is very laborious to locate an anchor to its suitable position according to the motion of the object. We have proposed a new automatic object tracking method and implemented it to the system. A feature of this method is that it includes various automatic error correction algorithms. We evaluated this system on effectiveness on reducing human operations. As a result, the number of operations reduced to 30.3% of the former method, and the time of operations reduced to 60.1% of the former method.

关键词： hypermedia pattern recognition object tracking video database

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Compressed domain video indexing techniques using DCT and motion vector information in MPEG video 5

Compressed domain video indexing techniques using DCT and mo...

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conference on storage and retrieval for image and video databases V

作者： Kobla, V Doermann, D Lin, KID Faloutsos, C Univ. of Maryland/College Park (United States)

ISBN: (纸本)0819424331

Development of various multimedia applications hinges on the availability of fast and efficient storage, brews browsing, indexing, and retrieval techniques. Given that video is typically stored efficiently in a compressed format, if we can analyze the compressed representation directly, we can avoid the costly overhead of decompressing and operating at the pixel level. Compressed domain parsing of video has been presented in earlier work where a video clip is divided into shots, subshots, and scenes.(9,11) In this paper, we describe key frame selection, feature extraction, and indexing and retrieval techniques that are directly applicable to MPEG compressed video. We develop a frame-type independent representation of the various types of frames present in an MPEG video in which all frames can be considered equivalent. Features are derived from the available DCT, macroblock, and motion vector information and mapped to a low-dimensional space where they can be accessed with standard database techniques. The spatial information is used as primacy index while the temporal information is used to enhance the robustness of the system during the retrieval process. The techniques presented enable fast archiving, indexing, and retrieval of video. Our operational prototype typically takes a fraction of a second to retrieve similar video scenes from our database, with over 95% success.

关键词： compressed domain analysis video indexing video retrieval FastMap MPEG DCT

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Semiautomatic video database system

Semiautomatic video database system

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storage and retrieval for image and video databases iii

作者： Devadiga, Sadashiva Koshiba, D.A. Gargi, U. Oswald, S. Kasturi, Rangachar The Pennsylvania State Univ. University Park PA USA United States

ISBN: (纸本)081941767X

We present a prototype video database system designed to accept video sequences as well as still images. The system indexes these sequences based on scene changes, creates a primitive structure of these sequences, and searches this structure for queried objects using specific color features. A video sequence input to the database is first indexed into subsequences using a color histogram difference method. A hierarchical structure is created by thresholding the sequences at various levels of inter-frame difference. For every subsequence that is identified, the first frame in that subsequence, the representative frame, is entered into the database. The system then automatically generates a description for the frame in terms of its color histogram features. Subsequently, the video sequence may be searched for objects (specified as regions of other video sequence frames or still images) using color similarity matching.

关键词： Database systems

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Using browsing to improve content-based image retrieval

Using browsing to improve content-based image retrieval

引用

conference on Multimedia storage and Archiving Systems iii

作者： Jin, JS Kurniawati, R Xu, GY Bai, XS Univ New S Wales Sydney NSW 2052 Australia

ISBN: (纸本)0819429880

Many content-based methods have been proposed to retrieve images from multimedia databases. Current index structures, such as R*-tree, SS-tree and SS+-tree, have a large overlapping area among their nodes, especially at the high level of the indexing tree. The overlapping area causes the search engine to compare a large number of nodes and hence, it is very inefficient to retrieve at very high levels of the index tree. We present a scheme to combine browsing with retrieval in searching for images. The browser uses the content-based index structure of image databases. It provides users with a visual tool to narrow the search quickly to a small region and to avoid a large number of comparisons. Combined with retrieval, it produces a very efficient content-based retrieval method.

关键词： content-based image retrieval indexing browsing multimedia database

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MOTION video ANALYSIS USING PLANAR PARALLAX 2

MOTION VIDEO ANALYSIS USING PLANAR PARALLAX

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conference on storage and retrieval for image and video databases II

作者： SAWHNEY, HS IBM CORP DIV RESALMADEN RES CTRSAN JOSECA 95120

ISBN: (纸本)0819414808

Motion and structure analysis in video sequences can lead to efficient descriptions of objects and their motions. Interesting events in videos can be detected using such an analysis--for instance independent object motion when the camera itself is moving, figure-ground segregation based on the saliency of a structure compared to its surroundings. In this paper we present a method for 3D motion and structure analysis that uses a planar surface in the environment as a reference coordinate system to describe a video sequence. The motion in the video sequence is described as the motion of the reference plane, and the parallax motion of all the non-planar components of the scene. It is shown how this method simplifies the otherwise hard general 3D motion analysis problem. In addition, a natural coordinate system in the environment is used to describe the scene which can simplify motion based segmentation. This work is a part of an ongoing effort in our group towards video annotation and analysis for indexing and retrieval. Results from a demonstration system being developed are presented.

关键词： video Motion analysis Cameras 3D modeling Direct methods Motion models 3D image processing Affine motion model Analytical research Roads

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Segmentation based image retrieval

Segmentation based image retrieval

引用

storage and retrieval for image and video databases VI conference

作者： Siebert, A Univ British Columbia Dept Comp Sci Vancouver BC V6T 1W5 Canada

ISBN: (纸本)0819427527

We have been developing an image retrieval system, called MIPS (Multiscalar image Processing and retrieval System), for use in uncontrolled environments. On insertion into the image database, the images are automatically segmented into homogeneous regions. Generic features are computed and stored for each segment. Specifically, we maintain not only geometric and photometric attributes but also simple spatial information for each extracted region. This approach asks the user to construct queries in terms of the given primitives, i.e. regions and their spatial relations. Preliminary results show that the success of the system depends on how well the images can be modelled by homogeneous regions, on how useful the generic features are for the given application, and on the knowledge that the user puts into the formulation of the queries. A fully automatic segmentation algorithm is of paramount importance. We have designed an algorithm called Perceptual Region Growing that combines region growing, edge detection, and perceptual organization principles, without resorting to any kind of high level knowledge or interactive user intervention. Decision thresholds and quality measures are directly derived from the image data, based on image statistics. Search through critical parameter spaces is the key idea to cope with noise in uncontrolled environments. The dynamics of the region growing process is constantly monitored and exploited.

关键词： image retrieval segmentation region growing

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Rotation, translation, and scaling invariant color image indexing

Rotation, translation, and scaling invariant color image ind...

引用

7th storage and retrieval for image and video databases conference

作者： Celenk, M Shao, Y Ohio Univ Sch Elect Engn & Comp Sci Athens OH 45701 USA

ISBN: (纸本)0819431273

This paper describes a rotation, translation, and scaling (RTS) invariant color image indexing technique for imaging database systems. The features used for image indexing are color based, which are extracted using the principal component analysis, Hotelling transform, and moment invariants. This synthesized feature extraction technique is devised to be computationally efficient for on-line fast image storage and retrieval using color information Since the database indexing relies on a the use of average (mean) color vector and seven moment invariants of an image, the index storage requirement of the method is only a ten-dimensional (10-D) vector. This index storage efficiency is very desirable for many imaging database applications. A new similarity measure is also proposed based on the Tanimoto measure of recognizing similar patterns for fast image retrieval in large database systems. The underlying similarity measure is computationally effective since the vector inner product is the only operation needed for its computation. Four databases are experimented in the computer simulation of the algorithm to demonstrate the RTS property of the image retrieval. It is determined experimentally that the proposed method is not affected by substantial changes in the database images due to rotation, translation, and scaling. This is attributed to the fact that the moment features used for retrieval are not predefined sets;rather, they are obtained directly from the images submitted for recording or searching. This makes the algorithm very robust and attractive for many applications of the image storage and retrieval systems.

关键词： color image storage and retrieval principal components Hotelling transform moment invariants Tanimoto measure

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