Practicas Experimentales en Percepción Visual

Las prácticas obligatorias de la materia Percepción Visual constituyen un complemento de trabajo en el que deben integrarse los conocimientos informativos y los de índole formativa (técnicas, procedimientos, metodología, etc.). De acuerdo con ello, hemos seleccionado cinco cuestiones que en el pasado han sido objeto de verificación experimental, considerando, por un lado, la pertenencia al temario de las asignaturas y, por otro lado, la viabilidad de las experimentaciones, habida cuenta de la infraestructura material requerida (equipo, aparatos, material, etc.) y los condicionantes académicos (relación: número de alumnos / clase; espacios disponibles [aulas y laboratorios], condiciones ambientales, tiempo disponible, etc.). Las practicas experimentales en percepción visual ofrecen la posibilidad de que los estudiantes puedan aplicar los procedimientos experimentales adecuados, operativizando las variables (medición), estableciendo relaciones entre ellas (hipótesis) y planteando predicciones que se someterán a prueba a partir de los datos registrados. Llevan a los estudiantes a confrontar el modelo o las teorías con la realidad (verificación) y a buscar interpretaciones plausibles de las relaciones evidenciadas empíricamente entre las variables. Introducen al alumno en el rigor, la precisión, el control, la sistematicidad y la objetividad, frente a la especulación gratuita.

Cicle visual. Veure i aprendre. Una mirada jove a la memòria

Màster Oficial en Gestió del Patrimoni Cultural

Investigations On The Development Of An Ann Model & Visual Manipulation Approach For 2-D Dft Computation In Image Processing

This thesis is an outcome of the investigations carried out on the development of an Artificial Neural Network (ANN) model to implement 2-D DFT at high speed. A new definition of 2-D DFT relation is presented. This new definition enables DFT computation organized in stages involving only real addition except at the final stage of computation. The number of stages is always fixed at 4. Two different strategies are proposed. 1) A visual representation of 2-D DFT coefficients. 2) A neural network approach. The visual representation scheme can be used to compute, analyze and manipulate 2D signals such as images in the frequency domain in terms of symbols derived from 2x2 DFT. This, in turn, can be represented in terms of real data. This approach can help analyze signals in the frequency domain even without computing the DFT coefficients. A hierarchical neural network model is developed to implement 2-D DFT. Presently, this model is capable of implementing 2-D DFT for a particular order N such that ((N))4 = 2. The model can be developed into one that can implement the 2-D DFT for any order N upto a set maximum limited by the hardware constraints. The reported method shows a potential in implementing the 2-D DF T in hardware as a VLSI / ASIC

Ontology based Framework for News Extraction in Visual Media

Anticipating the increase in video information in future, archiving of news is an important activity in the visual media industry. When the volume of archives increases, it will be difficult for journalists to find the appropriate content using current search tools. This paper provides the details of the study we conducted about the news extraction systems used in different news channels in Kerala. Semantic web technologies can be used effectively since news archiving share many of the characteristics and problems of WWW. Since visual news archives of different media resources follow different metadata standards, interoperability between the resources is also an issue. World Wide Web Consortium has proposed a draft for an ontology framework for media resource which addresses the intercompatiblity issues. In this paper, the w3c proposed framework and its drawbacks is also discussed