66 Result(s)
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Chapter and Conference Paper
A Robust, Efficient, and Fast Global Motion Estimation Method from MPEG Compressed Video
In the field of content-based visual information, detection of visual features is a significant topic. In order to process video data efficiently, visual features extraction is required. Many of the advanced v...
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Chapter and Conference Paper
A Distributed Dynamic μFirewall Architecture with Mobile Agents and KeyNote Trust Management System
Due to end-to-end design principle in distributed applications, many emerging security problems could not be solved by conventional security technologies, such as firewalls and IDSs. To address these problems,...
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Chapter and Conference Paper
Adaptive Interval-Based Caching Management Scheme for Cluster Video Server
In a video server, a good buffer management scheme can reduce the number of disk I/O. Traditional buffer replacement algorithms such as LRU (least recently used) and MRU (most recently used) only aim at increasin...
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Chapter and Conference Paper
Efficient Time Series Data Classification and Compression in Distributed Monitoring
As a key issue in distributed monitoring, time series data are a series of values collected in terms of sequential time stamps. Requesting them is one of the most frequent requests in a distributed monitoring ...
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Chapter and Conference Paper
Efficient Algorithms for Skyline Top-K Keyword Queries on XML Streams
Keywords are suitable for query XML streams without schema information. In current forms of keywords search on XML streams, rank functions do not always represent users’ intentions. This paper addresses this p...
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Chapter and Conference Paper
Consistency Measure of Multiple Classifiers for Land Cover Classification by Remote Sensing Image
Nowadays, multiple classifier system is widely used for land cover classification by remote sensing imagery. The performance of combined classifier is closely related to the selection of member classifiers, so...
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Chapter and Conference Paper
EIF: A Framework of Effective Entity Identification
Entity identification, that is to build corresponding relationships between objects and entities in dirty data, plays an important role in data cleaning. The confusion between entities and their names often re...
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Chapter and Conference Paper
Evaluation and Recommendation Methods Based on Graph Model
Evaluation and recommendation are different actions, but they are consistent in mining and using information efficiently and effectively to improve their persuasiveness and accuracy. From the view of informati...
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Chapter and Conference Paper
Research on Constitution and Application of Digital Learning Resources of Wu Culture
As splendid traditional culture, Wu Culture plays a very important role in accelerating the constructing of school culture and human resources training. With the increasing demands for Wu culture resources of ...
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Chapter and Conference Paper
Selective Search and Sequential Detection for Standard Plane Localization in Ultrasound
We present the first automatic solution for localizing fetal abdominal standard plane (FASP) in consecutive 2D ultrasound images. FASP is located in the presence of three key anatomies detected by learning bas...
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Chapter and Conference Paper
A Multi-parameter Integrated Water Quality Sensors System
Because of the rapid development of aquaculture in China at present, it is more and more urgent to apply hi-tech devices in aquaculture field to guarantee its efficiency. There are already many devices used fo...
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Chapter and Conference Paper
Research on Quality Improvement of Polarization Imaging in Foggy Conditions
A new method was presented to improve quality of polarization imaging in foggy weather. In this method, two state-of-art algorithms were used to defog three polarization direction images by polarization imagin...
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Chapter and Conference Paper
A Prediction Model Based on Time Series Data in Intelligent Transportation System
Intelligent Transportation System has a new kind of complicated time series data which would be the traffic flow, average speed or some other traffic condition information at the same time period. All above da...
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Chapter and Conference Paper
Image Quality Assessment Based on SIFT and SSIM
Image quality assessment (IQA) aims to provide computational models to measure the image quality consistently with subjective assessments. The SSIM index brings IQA from pixel-based to structure-based stage. I...
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Chapter and Conference Paper
Fetal Abdominal Standard Plane Localization through Representation Learning with Knowledge Transfer
Acquisition of the fetal abdominal standard plane (FASP) is crucial for prenatal ultrasound diagnosis. However, it requires a thorough knowledge of human anatomy and substantial experience. In this paper, we p...
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Chapter and Conference Paper
A New Method of Object Saliency Detection in Foggy Images
Aiming to saliency detection problem of degraded foggy images, a new method of object saliency detection method in foggy images based on region covariance matrix is presented. In the method, color, direction a...
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Chapter and Conference Paper
Automatic Fetal Ultrasound Standard Plane Detection Using Knowledge Transferred Recurrent Neural Networks
Accurate acquisition of fetal ultrasound (US) standard planes is one of the most crucial steps in obstetric diagnosis. The conventional way of standard plane acquisition requires a thorough knowledge of fetal ...
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Chapter and Conference Paper
Research on Image Quality Assessment in Foggy Conditions
Recently, no-reference image quality assessment has been followed with interest by researchers, but no-reference quality assessment of foggy images is rarely reported. This paper proposes a no-reference qualit...
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Chapter and Conference Paper
Feature Extraction for Effective Content-Based Cloth Image Retrieval in E-Commerce
Cloth image retrieval in E-Commerce is a challenging task. In this paper, we propose an effective approach to solve this problem. Our work chooses three features for retrieval: (1) description (2) category (3...
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Chapter and Conference Paper
Age Estimation by Refining Label Distribution in Deep CNN
This paper proposes an age estimation algorithm by refining the label distribution in a deep learning framework. There are two tasks during the training period of our algorithm. The first one finds the optimal...
