19467963
An integrated live interactive content insertion system for digital TV commerce
We present an advanced architecture for selectively inserting interactive content into a live TV broadcast anti tracking the usage of the inserted content by client viewers. Specifically, we propose a multi-level interactive content preview mechanism, agent-based information exchange mechanism and E-commerce enablement technology powered by an Interactive Content Creation Engine (ICCE). Also, we introduce two types of mapping lists for scheduling and for an intelligent decision maker based oil the transaction monitoring and multi-level content preview. We propose that the improved live interactive content insertion method and system will be especially useful for building interactive TV e-commerce solutions.
6452442
A Method of Enabling Automated Invocation of Web Services
While Web services provide an essential building block for realizing dynamic e-business by facilitating standardsbased program-to-program interaction, they do not address many business aspects of communication such as security, access control, business partner selection, service level agreement monitoring, and logging. In this paper, we propose a service-oriented framework that provides these much needed infrastructure services. Using the framework, service providers can prepare their business applications for publishing as Web services, and specify access controls on their services in the registry while service requestors can find suitable service providers and invoke their services dynamically. The framework ensures that all transactions are secure, monitored for service level agreements and logged for audit purposes. By providing business utility services and automation technology founded on Web services, we believe that, our framework takes Web services to the next level in supporting dynamic e-business.
17426553
On-demand business collaboration enablement with web services
Businesses are increasingly outsourcing key operations and interacting with ever extending nets of partners. Running extended business-to-business (B2B) operations creates the need for more advanced human interaction while advancing the automation base of B2B functions. In this paper, we introduce a model for on-demand business process-based collaboration, namely, Extended Business Collaboration (eBC), and its major elements of modeling, and a configurable business protocol-enabling framework. We discuss some of the major research issues associated with facilitating extended business collaboration, and present our proposed Annotated Business HyperChain technology leveraging Web services and semantic annotation model. A research prototype is described, followed by some observations and discussion of open research issues requiring further exploration.
36054855
MQML-Message Queuing Markup Language
Message Queuing allows applications to use components that communicate with one another using queued messages. In this paper, we propose a Message Queuing Markup Language (MQML), which is an XML based markup language designed to describe e-business applications and enterprise integration. The MQML language is extensible. The detailed description of the MQML is presented in this paper. An research prototype is given to validate the effectiveness and value of our proposed MQML for enterprise integration.
21758360
WS-trustworthy: a framework for Web services centered trustworthy computing
The emerging paradigm of Web services has been gaining significant momentum in the recent years since it offers a promising way to facilitate business-to-business (B2B) collaboration. However, it is not clear that this new model of Web services provides any measurable increase in computing trustworthiness. We propose a generic framework to control the trustworthiness of computing in the domain of Web services. A layered model is established to highlight four key elements: resources, policies, validation processes, and management. The robustness of this model exhibits its flexibility and extensibility. Examples utilizing our framework are reported.
24114295
WS-EPM: Web services for enterprise project management
This work presents a new service-oriented architecture for enterprise project management that integrates business process, human resources and project management within an enterprise or across the value chain network. In the proposed WS-EPM framework, the project resources include business processes, skilled people, physical resources, control policies, and so forth. The project resources used in WS-EPM are described by WSResource properties language. In addition, the coordination of project resources is guided by a set of operations modeled by business process execution language for Web services (BPEL4WS). At the end of this paper, we present an industry application scenario that leverages the proposed WS-EPM for achieving maximum ROI with limited resources.
140083992
Boosting image classification with LDA-based feature combination for digital photograph management
Image classification is of great importance for digital photograph management. In this paper we propose a general statistical learning method based on boosting algorithm to perform image classification for photograph annotation and management. The proposed method employs both features extracted from image content (i.e., color moment and edge direction histogram) and features from the EXIF metadata recorded by digital cameras. To fully utilize potential feature correlations and improve the classification accuracy, feature combination is needed. We incorporate linear discriminant analysis (LDA) algorithm to implement linear combinations between selected features and generate new combined features. The combined features are used along with the original features in boosting algorithm for improving classification performance. To make the proposed learning algorithm more efficient, we present two heuristics for selective feature combinations, which can significantly reduce training computation without losing performance. The proposed image classification method has several advantages: small model size, computational efficiency and improved classification performance based on LDA feature combination.
6538157
Threshold Tuning for Improved Classification Association Rule Mining
One application of Association Rule Mining (ARM) is to identify Classification Association Rules (CARs) that can be used to classify future instances from the same population as the data being mined. Most CARM methods first mine the data for candidate rules, then prune these using coverage analysis of the training data. In this paper we describe a CARM algorithm that avoids the need for coverage analysis, and a technique for tuning its threshold parameters to obtain more accurate classification. We present results to show this approach can achieve better accuracy than comparable alternatives at lower cost.
9889457
A New Approach to Automated Retinal Vessel Segmentation Using Multiscale Analysis
Computer based analysis for automated segmentation of blood vessels in retinal images help eye care specialists screen larger populations for vessel abnormalities. However, automated retinal segmentation is complicated by the fact that the width of retinal vessels can vary from very large to very small, and that the local contrast of vessels is unstable, especially in unhealthy ocular fundus. We propose a novel method that takes these facts into account. Our method includes a multiscale analytical scheme using Gabor filters and scale production, and a threshold probing technique utilizing the features of retinal vessel network. Our method is good for detecting large and small vessels concurrently. It also offers an efficient way to denoise and enhance the responses of line filters, allowing the detection of vessels with low local contrast
14086659
VirtualTour: an online travel assistant based on high quality images
With the popularity of both travel and Web, more and more people use online travel services to facilitate their travel activities or share their travel experiences. Considering that existing services emphasize more on the textual content with the pictorial content only as supplement, we propose the VirtualTour system. It is an online travel service dedicated on high quality images, which helps travelers plan their trip. The images of VirtualTour are from photo forum sites. They have rich and accurate metadata which could be used to extract geographic location information of them and assess the quality of them. A representative sights identification algorithm is also proposed to automatically identify the possible related sights of a region. Based on the map services that seamlessly integrated into the system, a wieldy UI is designed to support several useful features, e.g. query by map, location or path.
7358200
The Quest for Efficient Boolean Satisfiability Solvers
The classical NP-complete problem of Boolean Satisfiability (SAT) has seen much interest in not just the theoretical computer science community, but also in areas where practical solutions to this problem enable significant practical applications. Since the first development of the basic search based algorithm proposed by Davis, Putnam, Logemann and Loveland (DPLL) about forty years ago, this area has seen active research effort with many interesting contributions that have culminated in state-of-the-art SAT solvers today being able to handle problem instances with thousands, and in same cases even millions, of variables. In this paper we examine some of the main ideas along this passage that have led to our current capabilities. Given the depth of the literature in this field, it is impossible to do this in any comprehensive way; rather we focus on techniques with consistent demonstrated efficiency in available solvers. For the most part, we focus on techniques within the basic DPLL search framework, but also briefly describe other approaches and look at some possible future research directions.