An Appearance-Based Method for Parametric Video Registration

In this paper we address the problem of multi frame video registration using the combination of an appearance-based technique and a parametric model of the transformations. This technique uses an image that is selected as reference frame, and therefore, estimates the transformation that occurred to each frame in the sequence respect to this absolute referenced one. Both global and local information are employed to the estimation of these registered images. Global information is applied in terms of linear appearance subspace constraints, under the subspace constancy assumption [4], where variabilities of each frame respect to the reference frame are encoded. Local information is used by means of a polynomial parametric model that estimates the velocities field evoluton in each frame. The objective function to be minimized considers both issues at the same time, i.e., the appearance representation and the time evolution across the sequence. This function is the connection between the global coordinates in the subspace representation and the time evolution and the parametric optical flow estimates. Thus, the appearance constraints result to take into account al the images in a sequence in order to estimate the transformation parameters

Emotional speech analysis in mediation and court environments

When people communicate, their states of mind are coupled with the explicit content of the messages being transmitted. The implicit information conveyed by mental states is essential to correctly understand and frame the communication messages. In mediation, professional mediators include empathy as a fundamental skill when dealing with the relational and emotional aspects of a case. In court environments, emotion analysis intendsto point out stress or fear as indicators of the truthfulness of certain asserts. In commercial environments, such as call-centers, automatic emotional analysis through speech is focused to detect deception or frustration. Computational analysis of emotions focuses on gathering information from speech, facial expressions, body poses and movements to predict emotional states. Specifically, speech analysis has been reported as a valuable procedure for emotional state recognition. While some studies focus on the analysis of speech features to classify emotional states, others concentrate on determining the optimal classification performance. In this paper we analyze current approaches to computational analysis of emotions through speech and consider the replication of their techniques and findings in the domains of mediation and legal multimedia

Diarization for the annotation of legal videos

In this paper we analyze legal hearing recordings generated at the Spanish Civil Law Courts, and we present a tool for annotation and navigation across these records. This tool is based on data recovering the legal structure of hearings. To grasp this structure automatically, we apply and compare different audio diarization algorithms to obtain the temporal boundaries of the speakers and their tracking across the hearing. Previous work on legal data will help us to apply diarization techniques into web services platforms (Ontomedia)

Legal knowledge acquisition and multimedia applications

Search, retrieval, and management of multimedia contents are challenging tasks for users and researchers alike. The aim of e-sentencias Project is to develop a software-hardware system for the global management of the multimedia contents produced by the Spanish Civil Courts. We apply technologies such as the Semantic Web, ontologies, NLP techniques, audio-video segmentation and IR. The ultimate goal is to obtain an automatic classification of images and segments of the audiovisual records that, coupled with textual semantics, allows anefficient navigation and retrieval of judicial documents and additional legal sources

The e-Sentencias prototype: a procedural ontology for legal multimedia applications in the Spanish Civil Courts

Search, retrieval, and management of multimedia contents are challenging tasks for users and researchers alike. We introduce a software-hardware system for the global management of the multimedia contents produced by Spanish Civil Courts. The ultimate goal is to obtain an automatic classification of images and segments of the audiovisual records that, coupled with textual semantics, allows an efficient navigation and retrieval of judicial documents and additional legal sources. This paper describes our knowledge acquisition process, sets a typology of Spanish Civil hearings as performed in practice, and a preliminary procedural ontology at its actual stage of development (e-Sentencias ontology). A discussion on procedural, contextual and multimedia ontologies is also provided

Accelerating semantic search with application of specific platforms

Semantic Search and Ontologies are one of the key technologies that can improve content management. Nonetheless, in order to be widely diffused, these technologies lack real-time capabilities, that speed up both the indexing and the retrieval processes. This contribution presents the approach and strategy proposed to tackle this problem, within the Spanish project E-Sentencias; a project for the development of a management system for lawyers that includes documentation and multimedia related to the management of their legal case

Look-alike humans identified by facial recognition algorithms show genetic similarities

We thank François Brunelle for providing the look-alike images. We thank CERCA Programme/Generalitat de Catalunya and the Josep Carreras Foundation for institutional support. This work was funded by the governments of Catalonia (2017SGR1080) and Spain (RTI2018-094049-B-I00, SAF2014-55000, and TIN2017-90124-P) and the Cellex Foundation. M.E. conceived and designed the study; R.S.J. M.R. C.A.G.-P. M.C.d.M. D.P. S.M. V.D. P.C. M.F.-B. I.O. C.L.-F. A.N. C.F.-T. D.A. F.M.S. X.B. A.V. and M.E. analyzed multiomics and questionnaire data; R.J. and M.E. wrote the manuscript with contributions and approval from all authors. M.E. is a consultant of Ferrer International and Quimatryx. S.M. is an employee of Ferrer International. C.F.-T. is chief technical officer of Herta Security.We thank François Brunelle for providing the look-alike images. We thank CERCA Programme/Generalitat de Catalunya and the Josep Carreras Foundation for institutional support. This work was funded by the governments of Catalonia (2017SGR1080) and Spain (RTI2018-094049-B-I00, SAF2014-55000, and TIN2017-90124-P) and the Cellex Foundation.The human face is one of the most visible features of our unique identity as individuals. Interestingly, monozygotic twins share almost identical facial traits and the same DNA sequence but could exhibit differences in other biometrical parameters. The expansion of the world wide web and the possibility to exchange pictures of humans across the planet has increased the number of people identified online as virtual twins or doubles that are not family related. Herein, we have characterized in detail a set of "look-alike" humans, defined by facial recognition algorithms, for their multiomics landscape. We report that these individuals share similar genotypes and differ in their DNA methylation and microbiome landscape. These results not only provide insights about the genetics that determine our face but also might have implications for the establishment of other human anthropometric properties and even personality characteristics

Proceedings of LOAIT '07 : II Workshop on Legal Ontologies and Artificial Intelligence Techniques

Proceedings of the 2nd Workshop on Legal Ontologies and Artificial Intelligence Techniques June 4th, 2007, Stanford Universit