Multimedia Summarization in Law Courts: A Clustering-Based Environment for Browsing and Consulting Judicial Folders

Fersini, Elisabetta; Messina, Enza; Archetti, Francesco

doi:10.1007/978-3-642-14400-4_19

Cited by 6 publications

(3 citation statements)

References 13 publications

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“…According to the state of the art different strategies are possible. Authors already presented some results about the comparison between different techniques and proposed a modified version of the Induced Bisecting algorithm (Archetti et al [28], Fersini et al [29]), namely the In-deep Bisecting, with the aim to improve localization performances (Candelieri and Messina [23], Candelieri et al [24,25]). In particular, after leakages scenarios are grouped together without considering information about the pipe on which leak in placed and the correspondent discharge coefficient, the number of pipes belonging to each cluster respect to the overall number of mains of the network is taken into account as performance index.…”

Section: Clustering Leakage Scenarios For Leaks Localizationmentioning

confidence: 99%

Improving leakage management in urban water distribution networks through data analytics and hydraulic simulation

Candelieri

Archetti

Messina

2013

Water Resources Management VII

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Worldwide, water utilities are finding it increasingly difficult to meet the growing water demand. The problem, already acute in view of the urbanization trends, is compounded by the age of the infrastructure: one third of water utilities have 20% or more of their pipelines nearing the end of their useful life. This paper outlines an innovative approach for improving leakage management processes through the adoption of data analytics techniques and hydraulic simulation. More in detail, the aim is to provide analytical leaks localization and correspondent severity estimation in order to reduce time and costs for interventions and rehabilitation while improving asset management. The technical solution has been developed as a set of web services able to interoperate with other technological systems usually adopted by urban water distribution utilities, such as Supervisory Control And Data Acquisition (SCADA) system, Customer Information System (CIS), Geographical Information System (GIS) and Hydraulic Simulation tools. This paper presents some results obtained by the application of the approach to a real case study and also proves how its effectiveness may be improved in a sectorized water distribution network.

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Section: Clustering Leakage Scenarios For Leaks Localizationmentioning

confidence: 99%

Improving leakage management in urban water distribution networks through data analytics and hydraulic simulation

Candelieri

Archetti

Messina

2013

Water Resources Management VII

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“…As far as is concerned with the judicial debates, there is a very limited evidence about the multimedia summarization approaches Fersini et al (2010) and in particular focused on semantic aspects. One of the main requirements of judicial users relates to the possibility of retrieving and viewing a meaningful representation of one (or more) debate(s) according to relevant events occurred during the celebration of the proceedings.…”

Section: Related Work On Multimedia Summarizationmentioning

confidence: 99%

Semantic storyboard of judicial debates: a novel multimedia summarization environment

Fersini

Sartori

2012

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Purpose -The need of tools for content analysis, information extraction and retrieval of multimedia objects in their native form is strongly emphasized into the judicial domain: digital videos represent a fundamental informative source of events occurring during judicial proceedings that should be stored, organized and retrieved in short time and with low cost. This paper seeks to address these issues. Design/methodology/approach -In this context the JUMAS system, stem from the homonymous European Project (www.jumasproject.eu), takes up the challenge of exploiting semantics and machine learning techniques towards a better usability of multimedia judicial folders. Findings -In this paper one of the most challenging issues addressed by the JUMAS project is described: extracting meaningful abstracts of given judicial debates in order to efficiently access salient contents. In particular, the authors present an ontology enhanced multimedia summarization environment able to derive a synthetic representation of judicial media contents by a limited loss of meaningful information while overcoming the information overload problem. Originality/value -The adoption of ontology-based query expansion has made it possible to improve the performance of multimedia summarization algorithms with respect to the traditional approaches based on statistics. The effectiveness of the proposed approach has been evaluated on real media contents, highlighting a good potential for extracting key events in the challenging area of judicial proceedings.

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“…As far as is concerned with the judicial debates, there is a very limited evidence about the multimedia summarization approaches [8] and in particular focused on semantic aspects. One of the main requirements of judicial users relates to the possibility of retrieving and viewing a meaningful representation of one (or more) debate(s) according to relevant events occurred during the celebration of the proceedings.…”

Section: Introductionmentioning

confidence: 99%

Improving the Effectiveness of Multimedia Summarization of Judicial Debates through Ontological Query Expansion

Fersini

Sartori

2011

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

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The growing amount of multimedia data acquired during courtroom debates makes information and knowledge management in judicial domain a real challenge. In this paper we tackle the problem of summarizing this large amount of multimedia data in order to support fast navigation of the streams, efficient access to the information and effective representation of relevant contents needed during the judicial process. In particular, we propose an ontology enhanced multimedia summarization environment able to derive a synthetic representation of audio/video contents by a limited loss of meaningful information while overcoming the information overload problem.

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Multimedia Summarization in Law Courts: A Clustering-Based Environment for Browsing and Consulting Judicial Folders

Cited by 6 publications

References 13 publications

Improving leakage management in urban water distribution networks through data analytics and hydraulic simulation

Improving leakage management in urban water distribution networks through data analytics and hydraulic simulation

Semantic storyboard of judicial debates: a novel multimedia summarization environment

Improving the Effectiveness of Multimedia Summarization of Judicial Debates through Ontological Query Expansion

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