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In this paper, we discuss how we use variances of gray level spatial dependencies as textural features to retrieve images having some section in them that is like the user input image. Gray level co-occurrence matrices at five distances and four orientations are computed to measure texture which is defined as being specified by the statistical distribution of the spatial relationships of gray level...
This paper presents a new approach for the classification and retrieval of three-dimensional images and models from databases. A set of retrieval algorithms is introduced. These algorithms are content-based, meaning that the input is not made out of keywords but of three-dimensional models. Tensor of inertia, distribution of normals, distribution of cords and multiresolution analysis are used to describe...
Web-WISE is a system designed to address the need for efficient content-based seeking and retrieval of images on the web. It supports searching by multi-features, including color and texture. Web-WISE contains three automatic components, which are 1): Internet Agent responsible for searching the Web to fetch images; 2): Analysis Agent, which extracts the color and texture features of color JPEG images...
Video information processing and retrieval is a key aspect of future multimedia technologies and applications. Commercial videos encode several planes of expression through a rich and dense use of colors, editing effects, viewpoints and rhythms, which are exploited together to attract potential purchasers. Databases of commercials can be accessed in order to analyze how a commercial has been developed,...
Video has become an essential component of multimedia applications nowadays. To support multimedia and video applications efficiently, video objects must be modeled and structured in secondary storage effectively, allowing flexible; easy, and efficient retrieval. Existing video database systems are quite ad hoc, each being designed for a specific kind of application. In this paper, we illustrate that...
Content-based retrieval of multimedia data with temporal constraints, such as video and audio sequences, requires a consideration of the temporal ordering inherent in such sequences. Video sequence-tosequence matching is therefore an important step in realizing content-based video retrieval. This paper provides an overview of the general issues involved in video sequence matching, points out the immediate...
The purpose is to arrive at image retrieval invariant to a substantial change in illumination. We will extend the theory that we have recently proposed on illumination invariant color models [6]. Then, a multi-scale image representation is produced by applying Gaussian derivatives at different scale levels on the illumination invariant color models. In this way, a multi-dimensional multi-scale...
This research explores the interaction of textual and photographic information in multimodal documents. The WWW may be viewed as the ultimate, large-scale, dynamically changing, multimedia database. Finding useful information from the WWW without encountering numerous false positives (the current case) poses a challenge to multimedia information retrieval systems (MMIR). We exploit the fact that images...
We propose a new lateral inhibition method for image enhancement which improves both color and brightness contrast. Our method deserves attention for the following reasons: (1) it can adapt itself to the objective image automatically, (2) physiological and psychological behavior of early visual system has been considered and (3) it can affect locally and parallelly both the light region and dark region...
In this paper, we present an area-based affine invariant representation of shapes and a point-correspondence algorithm which supports multi-scale similarity matching for shape-based retrieval. This method is affine invariant and stable against noise and shape deformations. Since the area-based representation scheme simultaneously captures both local and global affine invariant features of shapes,...
To support the retrieval, fusion and discovery of visual Umultimedia information, a spatial query language for multiple data sources is needed. In this paper we describe a spatial query language which is based upon the σ-operator sequence and in practice expressible in an SQL-like syntax. The general 6-operator and temporal σ-operator are explained, and applications of the σ-query language to vertical/horizontal...
This paper proposes a video segmentation algorithm based on a color difference histogram (CDH) which is insensitive to illuminations, object motions and camera movements. The relative high performance of the algorithm relies to some extent on the newly devised video scene detection method (DD) based on the analysis of the changes of video frame differences. We have identified characteristic patterns...
Automatic scene breakpoint detection is the first step and also an important step for content-based parsing and indexing of video data. Several methods have been introduced to address this problem, e.g. pixel-by-pixel comparisons and histogram comparisons. Each has some advantages, but all of them are slow because they need process the data of entire image frames. Furthermore, none of these methods...
Hierarchical storage systems can provide huge storage capacity for multimedia data at very economical cost, but the relative high access latency of tertiary storage devices tends to make them infeasible for many applications. In this paper, we present a storage organization tailored for multimedia data stored in hierarchical storage systems which overcomes the latency limitation. We introduce a novel...
This paper is concerned with the indexing and retrieval of images based on features extracted directly from JPEG discrete cosine transform (DCT) domain. We examine possible ways of manipulating DCT coefficients by standard image analysis approaches to describe image shape, texture, and color. Through Mandala transformation, our approach groups a subset of DCT coefficients to form ten blocks. Each...
The availability of a variety of sophisticated data acquisition instruments has resulted in large repositories of imagery data in different applications like non-destructive testing, technical drawing, medicine, museums and so one. Effective extraction of visual features and contents is needed to provide meaningful index of and access to visual data. In the paper, we proposed an image database architecture,...
PRIME is a precision oriented information retrieval system, managing multimedia structured documents. An information retrieval system provides access to documents based on their semantic content. The precision of such a system is measured as its capacity to give not necessary all, but only good answers. An information retrieval system is precision oriented when the information need of the users requires...
Similarity Indexing is very important for content-based retrieval on large multimedia databases, and the “tightness” of data set envelope is a factor that influences the performance of index. For equidistant envelope (bounding sphere), calculation of envelope is somewhat difficult because of the complexity of direct computation in high dimension space. In this paper we summarize the envelope used...
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