A novel similarity measure based on the Choquet integral was introduced for retrieving images from a image database that 'mostly' fit the query image. We showed that in certain conditions the measure is a norm...
详细信息
A novel similarity measure based on the Choquet integral was introduced for retrieving images from a image database that 'mostly' fit the query image. We showed that in certain conditions the measure is a norm, a fact that can be used to reduce the searching time using the triangle inequality. To test the new measure, a content based imageretrieval system was build. The system was benchmarked against the visual retrieval cartridge, Virage, built into Oracle 8 database system. The results suggested that the new measure is useful for imageretrieval.
Enabling the efficient storage, access and retrieval of large volumes of multi-dimensional data is one of the important emerging problems in databases. We present a framework for adaptively storing, accessing, and ret...
详细信息
Enabling the efficient storage, access and retrieval of large volumes of multi-dimensional data is one of the important emerging problems in databases. We present a framework for adaptively storing, accessing, and retrieving large images. The framework uses a space and frequency graph to generate and select image view elements for storing in the database. By adapting to user access patterns, the system selects and stores those view elements that yield the lowest average cost for accessing the multi-resolution sub-region image views. The system uses a second adaptation strategy to divide computation between server and client in progressive retrieval of image views using view elements. We show that the system speeds-up retrieval for access and retrieval modes such as drill-down browsing and remote zooming and panning and minimizes the amount of data transfer over the network.
A highly integrated wavelet-based image management system is proposed. Three solutions for key aspect of image management are derived: content-based imageretrieval (CBIR); image compression/decompression; and image t...
详细信息
A highly integrated wavelet-based image management system is proposed. Three solutions for key aspect of image management are derived: content-based imageretrieval (CBIR); image compression/decompression; and image transmission. By exploring the excellent features of wavelet, integrating key aspect of image management, the system shows a high overall performance.
The aim of this report is to be controversial and to engage a debate within the research community. Issues of whether some of the work in image and videodatabases has been directed at solutions in search of a problem...
详细信息
The aim of this report is to be controversial and to engage a debate within the research community. Issues of whether some of the work in image and videodatabases has been directed at solutions in search of a problem are discussed. Important applications in the area of media-based digital libraries that will enhance human experience are also detailed.
image histogram is an image feature widely used in content-based imageretrieval and video segmentation. It is simple to compute yet very effective as a feature in detecting image-to-image similarity, or frame-to-fram...
详细信息
image histogram is an image feature widely used in content-based imageretrieval 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 imageretrieval and video shot segmentation.
imageretrieval 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 in...
详细信息
imageretrieval 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.
A new system, the so-called MUVIS, is introduced for content-based indexing and retrieval for image database management systems. In addition to traditional indexing by key words, MUVIS allows indexing of objects and i...
详细信息
A new system, the so-called MUVIS, is introduced for content-based indexing and retrieval for image database management systems. In addition to traditional indexing by key words, MUVIS allows indexing of objects and images based on color, texture, shape and objects layout inside them. Due to the use of large vector features, the pyramid trees are employed to create the index structure.
This paper is concerned with estimating a probability density function of human skin color using a finite Gaussian mixture model whose parameters are estimated through the EM algorithm. Hawkins' statistical test o...
详细信息
This paper is concerned with estimating a probability density function of human skin color using a finite Gaussian mixture model whose parameters are estimated through the EM algorithm. Hawkins' statistical test on the normality and homoscedasticity (common covariance matrix) of the estimated Gaussian mixture models is performed and McLachlan's bootstrap method is used to test the number of components in a mixture. Experimental results show that the estimated Gaussian mixture model fits skin images from a large database. Applications of the estimated density function in image and videodatabases are presented.
The detection of shot boundaries in video sequences is an important task for generating indexed videodatabases. This paper provides a comprehensive quantitative comparison of the metrics that have been applied to sho...
详细信息
The detection of shot boundaries in video sequences is an important task for generating indexed videodatabases. This paper provides a comprehensive quantitative comparison of the metrics that have been applied to shot boundary detection. In addition, several standardized statistical tests that have not been applied to this problem, and three new metrics, are considered. A mathematical framework for quantitatively comparing metrics is supplied. Experimental results based on a video database containing 39,000 frames are included.
In this paper, we present an approach to clustering video sequences and images for efficient retrieval using relative entropy as our cost criterion. In addition, our experiments indicate that relative entropy is a goo...
详细信息
In this paper, we present an approach to clustering video sequences and images for efficient retrieval using relative entropy as our cost criterion. In addition, our experiments indicate that relative entropy is a good similarity measure for content-based retrieval. In our clustering work, we treat images and video as probability density functions over the extracted features. This leads us to formulate a general algorithm for clustering densities. In this context, it can be seen that an euclidean distance between features and the Kullback-Liebler (KL) divergence give equivalent clustering. In addition, the asymmetry of the KL divergence leads to another clustering. Our experiments indicate that this clustering is more robust to noise and distortions compared with the one resulting from euclidean norm.
暂无评论