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检索条件"任意字段=IEEE Workshop on Content-Based Access of Image and Video Libraries"

共 218 条记录，以下是41-50 订阅

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Using artificial queries to evaluate image retrieval

Using artificial queries to evaluate image retrieval

引用

ieee workshop on content-based access of image and video libraries

作者： Howe, NR Cornell Univ Dept Comp Sci Ithaca NY 14853 USA

ISBN: (纸本)076950695X;0769506968

This paper addresses the evaluation and comparison of algorithms for generalized image retrieval. The forms of evaluation currently in vogue are not calibrated with each other and thus do not allow the comparison of results reported by different research groups. We address the problem by proposing a class of tests that are algorithmically defined and relatively independent of the image test set. The proposed tests can be tailored to investigate retrieval performance under specific sets of adverse conditions, allowing additional insight into the strengths and weaknesses of different retrieval mechanisms.

关键词： image retrieval

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A graph based object description for information retrieval in digital image and video libraries

A graph based object description for information retrieval i...

引用

ieee workshop on content-based access of image and video libraries (CBAIVL 99)

作者： Ozer, B Wolf, W Akansu, AN New Jersey Inst Technol Dept Elect & Comp Engn New Jersey Ctr Multimedia Res Newark NJ 07102 USA

ISBN: (纸本)076950034X

The search algorithms for the objects of interest related to shape similarity in a video or image library were implemented by various research groups. This work focuses on the search of a sample object (car) in video sequences and images related to the shape similarity We also investigate a new description for cars, using relational graphs. The goal of this study is to investigate the shape matching method based an relational graph of objects with respect to its accuracy, efficiency and scalability. The aim is to annotate the images where the object of interest (OOI) is present. Then the query by text can be performed to extract images of OOI from a preprocessed database. The graph based description of the object with its meaningful parts provides an efficient way to obtain high level semantics from low level features. The hierarchical segmentation increases the accuracy of the detection of the object in the transformed and occluded images.

关键词： Object detection

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Efficient access to and retrieval from a shape image database

Efficient access to and retrieval from a shape image databas...

引用

ieee workshop on content-based access of image and video libraries

作者： Wang, J Yang, WJ Acharya, R SUNY Buffalo Dept Elect & Comp Engn Buffalo NY 14260 USA

ISBN: (纸本)0818685441

Sequential comparison of image visual features, so as Io perform similar shape retrieval, is time-consuming and impractical. access methods that utilize image shape features from different perspectives to narrow down the search space are necessary and essential. We propose a two-stage matching scheme, combining global and local features, to enhance the efficiency of a search operation. In addition, two shape feature encoding algorithms, concerning local feature extraction, are presented In the pursuit of effective representation of shape features. Substantial experiments are conducted and our results demonstrate the reliability of the proposed scheme.

关键词： Computer vision

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Bayesian relevance feedback for content-based image retrieval

Bayesian relevance feedback for content-based image retrieva...

引用

ieee workshop on content-based access of image and video libraries

作者： Vasconcelos, N Lippman, A MIT Media Lab Cambridge MA 02139 USA

ISBN: (纸本)076950695X;0769506968

dWe present a Bayesian learning algorithm that relies on belief propagation to integrate feedback provided by the user over a retrieval session. Bayesian retrieval leads to a natural criteria for evaluating local image similarity without requiring any image segmentation. This allows the practical implementation of retrieval systems where users can provide image legions, or objects, as queries. Region-based queries an significantly less ambiguous than queries based on entire images leading to significant improvements in retrieval precision. When combined with local similarity, Bayesian belief propagation is a powerful paradigm for user interaction. Experimental results show that significant improvements in the frequency of convergence to the relevant images can be achieved by the inclusion of learning in the retrieval process.

关键词： Belief propagation

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content-based image orientation detection with support vector machines

Content-based image orientation detection with support vecto...

引用

ieee workshop on content-based access of image and video libraries (CBAIVL 2001)

作者： Wang, YM Zhang, HJ Chinese Univ Hong Kong Dept Informat Engn Shatin Hong Kong Peoples R China

ISBN: (纸本)0769513549

Accurate and automatic image orientation detection is of great importance in image libraries. In this paper, we present automatic image orientation detection algorithms by adopting both the illuminance (structural) and chrominance (color) low-level content features. The statistical learning Support Vector Machines (SVMs) are used in our approach as the classifiers. The different sources of the extracted image features, as well as the binary classification nature of SVM, require our system to be able to integrate the outputs from multiple classifiers. Both static combiner (averaging) and trainable combiner (also based on SVMs) are proposed and evaluated in this work. In addition, two rejection options (regular and re-enforced ambiguity rejections) are employed to improve orientation detection accuracy by sieving out images with low confidence values during the classification. A number of experiments on a database of more than 14,000 images were performed to validate our approaches.

关键词： Support vector machines

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Unsupervised and model-free news video segmentation

Unsupervised and model-free news video segmentation

引用

ieee workshop on content-based access of image and video libraries (CBAIVL 2001)

作者： Gao, XB Tang, X Chinese Univ Hong Kong Dept Informat Engn Shatin Hong Kong Peoples R China

ISBN: (纸本)0769513549

based on a simple temporal structural model of news program, this paper presents a practical solution to automatic news story segmentation by integrating syntactic and semantic methods. First, a syntactic segmentation method is used to detect the shot boundaries in order to partition video frames into video shots. Then a semantic segmentation method based on the graph-theoretical cluster analysis is developed to classify the video shots into anchorperson shots and news footage shots. Finally, a structural model of news video is used to complete the news-story segmentation. The proposed method obtains a precision of 90.45% and a recall of 95.83% in the segmentation experiment of 168 news stories from two Hong Kong news stations.

关键词： Syntactics

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Index trees for efficient deformable shape-based retrieval

Index trees for efficient deformable shape-based retrieval

引用

ieee workshop on content-based access of image and video libraries

作者： Liu, LF Sclaroff, S Boston Univ Dept Comp Sci Image & Video Comp Grp Boston MA 02215 USA

ISBN: (纸本)0769506968

An inmproved method for deformable shape-based image indexing and retrieval is described. A pre-computed index tree is used to improve the speed of our previously reported on-line model fitting method;simple shape features are used as keys in a pre-generated index tl-ee of model instances. A coarse to fine indexing scheme is used at different levels of the tree to further improve speed. Experimental results that the speedup is significant, while accuracy of shape-based indexing is maintained. A method for shape population-based retrieval is also described. The method allow's query formulation based on the population distributions of shapes in each image. Results of population-based queries for a database of blood cell micrographs are shown.

关键词： Deformation

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Distinguishing photographs and graphics on the World Wide Web

Distinguishing photographs and graphics on the World Wide We...

引用

ieee workshop on content-based access of image and video libraries

作者： Athitsos, V Swain, MJ Frankel, C Department of Computer Science University of Chicago Chicago 60637 IL United States

ISBN: (纸本)0818679816

When we search for images in multimedia documents, we often have in mind specific image types that we are interested in;examples are photographs, graphics, maps, cartoons, portraits of people, and so on. This paper describes an automated system that classifies Web images as photographs or graphics. The design of the system is based on statistical observations about the image content of the two types, as well as learning techniques which make use of the vast amount of training data available on the Web. Text associated with the image can be used to further improve the accuracy of the classification. The system is used as a part of Webseer, an image search engine for the Web.

关键词： graphic images Learning methods Search engines design system image Web search engines

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Decoding image semantics using composite region templates

Decoding image semantics using composite region templates

引用

ieee workshop on content-based access of image and video libraries

作者： Smith, JR Li, CS IBM TJ Watson Res Ctr Hawthorne NY 10532 USA

ISBN: (纸本)0818685441

We present a method for decoding image semantics using composite region templates (CRTs). The CRTs define prototypal spatial arrangements of regions and features in the images. The system classifies unknown images by matching the strings of regions extracted from the images to the templates in a CRT library. We describe the process for generating the CRTs from photographic images by automatically segmenting the images into color regions. We demonstrate that the system performs well in classifying images from ten semantic classes and in searching for images in a large collection.

关键词： jigs(templates) Semantics Photographic images semiotics DECODING image matching

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Semantic access of frontal face images:: the expression-invariant problem

Semantic access of frontal face images:: the expression-inva...

引用

ieee workshop on content-based access of image and video libraries

作者： Martínez, AM Purdue Univ Sch Elect & Comp Engn Robot Vis Lab W Lafayette IN 47906 USA

ISBN: (纸本)076950695X;0769506968

Semantic queries to a database of images are more desirable than lour-level feature queries, because they facilitate the user's task. One such approach is the object-related image retrieval. In the content efface images, it a's of interest to retrieve images based on people's names and facial expressions. However, when images of the database are allowed to appear at different facial expressions, the face recognition approach encounters the expression-invariant problem, i.e. how to robustly identify a person's face for which its learning and testing face images differ in facial expression. The's paper presents a new local, probabilistic approach that accounts for this (Qs well as other previous studied) difficulty.

关键词： Semantics

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