10,843 research outputs found

    Structured Knowledge Representation for Image Retrieval

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    We propose a structured approach to the problem of retrieval of images by content and present a description logic that has been devised for the semantic indexing and retrieval of images containing complex objects. As other approaches do, we start from low-level features extracted with image analysis to detect and characterize regions in an image. However, in contrast with feature-based approaches, we provide a syntax to describe segmented regions as basic objects and complex objects as compositions of basic ones. Then we introduce a companion extensional semantics for defining reasoning services, such as retrieval, classification, and subsumption. These services can be used for both exact and approximate matching, using similarity measures. Using our logical approach as a formal specification, we implemented a complete client-server image retrieval system, which allows a user to pose both queries by sketch and queries by example. A set of experiments has been carried out on a testbed of images to assess the retrieval capabilities of the system in comparison with expert users ranking. Results are presented adopting a well-established measure of quality borrowed from textual information retrieval

    Portfolio Selection: Assessment of a Framework

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    Decision-making often involves selecting a portfolio of alternatives, rather than a single option. For example, in assembling an IS project team, rather than picking one best” employee, multiple employees are selected based on various skills to fill different positions. The value of the employees depending not only on their individual competency skills, but also on how well they work as a team. The team synergy is important, and the value of the portfolio (i.e. IS project team in this case) is different from the sum of the values of the individual team members. Though many studies have been published on portfolio selection in diverse contexts, most of these studies tend to focus on specific problem environments and cannot easily be generalized. This paper assesses and enhances a previously published, general framework for portfolio decisions with respect to its usefulness in classifying and understanding decision problems

    CHORUS Deliverable 2.1: State of the Art on Multimedia Search Engines

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    Based on the information provided by European projects and national initiatives related to multimedia search as well as domains experts that participated in the CHORUS Think-thanks and workshops, this document reports on the state of the art related to multimedia content search from, a technical, and socio-economic perspective. The technical perspective includes an up to date view on content based indexing and retrieval technologies, multimedia search in the context of mobile devices and peer-to-peer networks, and an overview of current evaluation and benchmark inititiatives to measure the performance of multimedia search engines. From a socio-economic perspective we inventorize the impact and legal consequences of these technical advances and point out future directions of research

    R&D and innovation project selection: can optimization methods be adequate?

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    This article proposes a comprehensive framework for R&D and innovation project selection under uncertainty and subject to real-world constraints applicable to the Brazilian electricity sector, using a combination of integer programming formulation and a PROMETHEE-based method. The objective is to contribute to this domain by offering an approach suitable for the challenges of this sector, but also applicable to other situations involving R&D and innovation investments under similar conditions. The manuscript presents applications using real data from an electricity company. It also compares the proposed method with similar approaches found in the literature such as PROMETHEE II and V. The application revealed the best performance of the proposed framework in dealing with the sector's regulatory constraints, which emphasize the companies' accomplishment with R&D and innovation expenditures obligations. In this way, although R&D and innovation project selection is not a typical case of optimization, under some particular regional, sector-based or organization boundaries this can be a better solution. (C) 2015 Published by Elsevier B.V.This article proposes a comprehensive framework for R&D and innovation project selection under uncertainty and subject to real-world constraints applicable to the Brazilian electricity sector, using a combination of integer programming formulation and a P55613621sem informaçãosem informaçã

    CHORUS Deliverable 2.2: Second report - identification of multi-disciplinary key issues for gap analysis toward EU multimedia search engines roadmap

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    After addressing the state-of-the-art during the first year of Chorus and establishing the existing landscape in multimedia search engines, we have identified and analyzed gaps within European research effort during our second year. In this period we focused on three directions, notably technological issues, user-centred issues and use-cases and socio- economic and legal aspects. These were assessed by two central studies: firstly, a concerted vision of functional breakdown of generic multimedia search engine, and secondly, a representative use-cases descriptions with the related discussion on requirement for technological challenges. Both studies have been carried out in cooperation and consultation with the community at large through EC concertation meetings (multimedia search engines cluster), several meetings with our Think-Tank, presentations in international conferences, and surveys addressed to EU projects coordinators as well as National initiatives coordinators. Based on the obtained feedback we identified two types of gaps, namely core technological gaps that involve research challenges, and “enablers”, which are not necessarily technical research challenges, but have impact on innovation progress. New socio-economic trends are presented as well as emerging legal challenges

    Public Policy Design and Implementation in Slovenia

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    Public policy design and implementation is a complex process, and so decision makers try to monitor all of the policy lifecycle stages in a particular policy domain. However, the question of coherent integration of various policy activities arises, including agenda-setting, ex-ante evaluation, formulation, decision-making, implementation, ex-post evaluation of individual policies, sector-specific ones, and even horizontal ones. Therefore, it is important to investigate and understand the reasons why an individual country, such as Slovenia, does not exploit all potential aspects of carrying out policy activities in a systematic and coherent manner. This article explores and analyzes Slovenian practice in policy design based on an in-depth empirical study among key public policyholders and decision makers. Furthermore, the authors identify the key success factors that facilitate or inhibit the development and progress of public policies, programs, and projects (PPPP) in Slovenia. The key findings indicate a particular lack of a professional policy unit to monitor the process holistically and the absence of ex-post evaluation. A need for a systemic solution in public policy design is established, which would merge different authorities’ efforts, epistemic communities, and the public in developing a structural multilevel model for good public governance
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