Over the last decade, database system products have been extended to provide support for defining, storing, updating, indexing and retrieving complex data with full transaction semantics. Oracle, IBM, Informix and oth...
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ISBN:
(纸本)0769510019
Over the last decade, database system products have been extended to provide support for defining, storing, updating, indexing and retrieving complex data with full transaction semantics. Oracle, IBM, Informix and others have used extensibility technology to build database system extensions for text, image, spatial, audio/video, chemical, genetic and other types of complex data. Currently, we find database systems being deployed in support of e-commerce. In many cases, these e-commerce database applications use only simple SQL data types to represent items such as office supplies, computers, books and CDs. there is also a large and important set of e-commerce applications that employ complex data formats such as EDI, SWIFT and HL7. the database extensibility features initially developed to support text, spatial and similar forms of complex data are now being used to build e-commerce applications. thus, database extensibility technology is evolving into an important mechanism to enable the development of e-commerce systems.
the variation of facial appearance due to the viewpoint (/pose) degrades face recognition systems considerably, which is well known as one of the bottlenecks in face recognition. One of the possible solutions is gener...
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the variation of facial appearance due to the viewpoint (/pose) degrades face recognition systems considerably, which is well known as one of the bottlenecks in face recognition. One of the possible solutions is generating virtual frontal view from any given non-frontal view to obtain a virtual gallery/probe face. By formulating this kind of solutions as a prediction problem, this paper proposes a simple but efficient novel local linear regression (LLR) method, which can generate the virtual frontal view from a given non-frontal face image. the proposed LLR inspires from the observation that the corresponding local facial regions of the frontal and non-frontal view pair satisfy linear assumption much better than the whole face region. this can be explained easily by the fact that a 3D face shape is composed of many local planar surfaces, which satisfy naturally linear model under imaging projection. In LLR, we simply partition the whole non-frontal face image into multiple local patches and apply linear regression to each patch for the prediction of its virtual frontal patch. Comparing with other methods, the experimental results on CMU PIE database show distinct advantage of the proposed method
Human interaction recognition based on skeleton data has attracted widespread attention due to its fast speed and robustness. Aiming at the current problem that the skeleton data is imaged and combined withthe convol...
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ISBN:
(数字)9781728162461
ISBN:
(纸本)9781665419352
Human interaction recognition based on skeleton data has attracted widespread attention due to its fast speed and robustness. Aiming at the current problem that the skeleton data is imaged and combined withthe convolutional neural network for recognition, which cannot effectively model the video time-series relationship. An interaction recognition method for joint sequence images is proposed. First calculate the joint-joint distance features of a single frame, and then quantize them into a grayscale image every three frames. then each grayscale image is sent to the convolutional neural network to extract the deep features, and finally send these features to the Long Short-Term Memory network for time series modeling to achieve the human interaction recognition. Experiments on the internationally published SBU Kinect interaction database have achieved a recognition rate of 96%, which verifies the effectiveness of the proposed algorithm.
Traditionally, human facial expressions have been studied using either 2D static images or 2D video sequences. the 2D-based analysis is incapable of handing large pose variations. Although 3D modeling techniques have ...
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Traditionally, human facial expressions have been studied using either 2D static images or 2D video sequences. the 2D-based analysis is incapable of handing large pose variations. Although 3D modeling techniques have been extensively used for 3D face recognition and 3D face animation, barely any research on 3D facial expression recognition using 3D range data has been reported. A primary factor for preventing such research is the lack of a publicly available 3D facial expression database. In this paper, we present a newly developed 3D facial expression database, which includes both prototypical 3D facial expression shapes and 2D facial textures of 2,500 models from 100 subjects. this is the first attempt at making a 3D facial expression database available for the research community, withthe ultimate goal of fostering the research on affective computing and increasing the general understanding of facial behavior and the fine 3D structure inherent in human facial expressions. the new database can be a valuable resource for algorithm assessment, comparison and evaluation
Remote sensing technology especially imagery processing has been commonly used by intelligence analysts for applications in agriculture. In order to improve the efficiency of supervising modern agricultural park such ...
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Remote sensing technology especially imagery processing has been commonly used by intelligence analysts for applications in agriculture. In order to improve the efficiency of supervising modern agricultural park such as modern agricultural demonstration zone in the domestic and overseas farm, this paper proposed a service-oriented framework of monitoring construction progress and evaluating construction effects for the parks using remote sensing technology. A workflow was exploited for acquiring the spatial information of major construction projects in the modern agricultural parks quickly, based on the automated methods of image interpretation by feature extraction and the spatial analysis by change detection, instead of manual inspection for construction status. Contrastive analysis between remote sensed realization and construction plan map was given with spatial data matching approach, in order to found a quantitative indicator system for the evaluation of the construction effect. then, a framework of the regulatory system of modern agricultural parks was discussed to support the chaining for spatial data storage with a database and spatial features visualization with an information processing system. the proposed approach not only takes advantages of geospatial characteristics of complex features, but also enjoys the openness and flexibility of the service-oriented decision support system. Prototypical implementations were provided to illustrate the applicability of key links for the proposal approach.
A novel algorithm for very high compression of grayscale images presenting features that lead to power efficient implementations is proposed. A simple methodology based on a hierarchical three stage exploration of the...
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ISBN:
(纸本)0780365429
A novel algorithm for very high compression of grayscale images presenting features that lead to power efficient implementations is proposed. A simple methodology based on a hierarchical three stage exploration of the algorithmic design space has been adopted for the conception of the algorithm. the proposed algorithm is based on an integer wavelet transform, which is much more efficient in terms of data storage and transfer compared to the widely used real wavelet transforms. For the coding of the coefficients of the wavelet transform fractal techniques using small size computationally generated codebooks are applied. the performance of the proposed algorithm is comparable to or better than that of existing standard algorithms. It is estimated using state-of-the-art high-level power estimation techniques that the proposed algorithm achieves lower power consumption by several times compared to existing standard algorithms.
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