Machine recognition of printed Kannada text

This paper presents the design of a full fledged OCR system for printed Kannada text. The machine recognition of Kannada characters is difficult due to similarity in the shapes of different characters, script complexity and non-uniqueness in the representation of diacritics. The document image is subject to line segmentation, word segmentation and zone detection. From the zonal information, base characters, vowel modifiers and consonant conjucts are separated. Knowledge based approach is employed for recognizing the base characters. Various features are employed for recognising the characters. These include the coefficients of the Discrete Cosine Transform, Discrete Wavelet Transform and Karhunen-Louve Transform. These features are fed to different classifiers. Structural features are used in the subsequent levels to discriminate confused characters. Use of structural features, increases recognition rate from 93% to 98%. Apart from the classical pattern classification technique of nearest neighbour, Artificial Neural Network (ANN) based classifiers like Back Propogation and Radial Basis Function (RBF) Networks have also been studied. The ANN classifiers are trained in supervised mode using the transform features. Highest recognition rate of 99% is obtained with RBF using second level approximation coefficients of Haar wavelets as the features on presegmented base characters.

Wavelet Transform Codec for Fast Retrieval of Slices of 3D Objects

We propose a method to encode a 3D magnetic resonance image data and a decoder in such way that fast access to any 2D image is possible by decoding only the corresponding information from each subband image and thus provides minimum decoding time. This will be of immense use for medical community, because most of the PET and MRI data are volumetric data. Preprocessing is carried out at every level before wavelet transformation, to enable easier identification of coefficients from each subband image. Inclusion of special characters in the bit stream facilitates access to corresponding information from the encoded data. Results are taken by performing Daub4 along x (row), y (column) direction and Haar along z (slice) direction. Comparable results are achieved with the existing technique. In addition to that decoding time is reduced by 1.98 times. Arithmetic coding is used to encode corresponding information independently

Particle image velocimetry and infrared thermography in a levitated droplet with nanosilica suspensions

Preferential accumulation and agglomeration kinetics of nanoparticles suspended in an acoustically levitated water droplet under radiative heating has been studied. Particle image velocimetry performed to map the internal flow field shows a single cell recirculation with increasing strength for decreasing viscosities. Infrared thermography and high speed imaging show details of the heating process for various concentrations of nanosilica droplets. Initial stage of heating is marked by fast vaporization of liquid and sharp temperature rise. Following this stage, aggregation of nanoparticles is seen resulting in various structure formations. At low concentrations, a bowl structure of the droplet is dominant, maintained at a constant temperature. At high concentrations, viscosity of the solution increases, leading to rotation about the levitator axis due to the dominance of centrifugal motion. Such complex fluid motion inside the droplet due to acoustic streaming eventually results in the formation of a ring structure. This horizontal ring eventually reorients itself due to an imbalance of acoustic forces on the ring, exposing larger area for laser absorption and subsequent sharp temperature rise.

Fracture processes of self compacting Concrete using image analysis

The mode I fracture toughness of concrete can be experimentally determined using three point bend beam in conjunction with digital image correlation (DIC). Three different geometrically similar sizes of beams are cast for this study. To study the influence of fly ash and silica fume on fracture toughness of SCC, three SCC mixes are prepared with and without mineral additions. The scanning electron microscope (SEM) images are taken on the fractured surface to add information on fracture process in SCC. From this study, it is concluded that the fracture toughness of SCC with mineral addition is higher when compared to those without mineral addition.

Real-time maximum a-posteriori image reconstruction for fluorescence microscopy

Rapid reconstruction of multidimensional image is crucial for enabling real-time 3D fluorescence imaging. This becomes a key factor for imaging rapidly occurring events in the cellular environment. To facilitate real-time imaging, we have developed a graphics processing unit (GPU) based real-time maximum a-posteriori (MAP) image reconstruction system. The parallel processing capability of GPU device that consists of a large number of tiny processing cores and the adaptability of image reconstruction algorithm to parallel processing (that employ multiple independent computing modules called threads) results in high temporal resolution. Moreover, the proposed quadratic potential based MAP algorithm effectively deconvolves the images as well as suppresses the noise. The multi-node multi-threaded GPU and the Compute Unified Device Architecture (CUDA) efficiently execute the iterative image reconstruction algorithm that is similar to 200-fold faster (for large dataset) when compared to existing CPU based systems. (C) 2015 Author(s). All article content, except where otherwise noted, is licensed under a Creative Commons Attribution 3.0 Unported License.

Joint Bilateral Filtering based Non-local Means Image Denoising

This paper proposes a denoising algorithm which performs non-local means bilateral filtering. As existing literature suggests, non-local means (NLM) is one of the widely used denoising techniques, but has a critical drawback of smoothing of edges. In order to improve this, we perform fast and efficient NLM using Approximate Nearest Neighbour Fields and improve the edge content in denoising by formulating a joint-bilateral filter. Using the proposed joint bilateral, we are able to denoise smooth regions using the NLM approach and efficient edge reconstruction is obtained from the bilateral filter. Furthermore, to avoid tedious parameter selection, we carry out a noise estimation before performing joint bilateral filtering. The proposed approach is observed to perform well on high noise images.

Entropy Constrained Exemplar-based Image Inpainting

Image inpainting is the process of filling the unwanted region in an image marked by the user. It is used for restoring old paintings and photographs, removal of red eyes from pictures, etc. In this paper, we propose an efficient inpainting algorithm which takes care of false edge propagation. We use the classical exemplar based technique to find out the priority term for each patch. To ensure that the edge content of the nearest neighbor patch found by minimizing L-2 distance between patches, we impose an additional constraint that the entropy of the patches be similar. Entropy of the patch acts as a good measure of edge content. Additionally, we fill the image by considering overlapping patches to ensure smoothness in the output. We use structural similarity index as the measure of similarity between ground truth and inpainted image. The results of the proposed approach on a number of examples on real and synthetic images show the effectiveness of our algorithm in removing objects and thin scratches or text written on image. It is also shown that the proposed approach is robust to the shape of the manually selected target. Our results compare favorably to those obtained by existing techniques

A survey on compressed domain video analysis techniques

Image and video analysis requires rich features that can characterize various aspects of visual information. These rich features are typically extracted from the pixel values of the images and videos, which require huge amount of computation and seldom useful for real-time analysis. On the contrary, the compressed domain analysis offers relevant information pertaining to the visual content in the form of transform coefficients, motion vectors, quantization steps, coded block patterns with minimal computational burden. The quantum of work done in compressed domain is relatively much less compared to pixel domain. This paper aims to survey various video analysis efforts published during the last decade across the spectrum of video compression standards. In this survey, we have included only the analysis part, excluding the processing aspect of compressed domain. This analysis spans through various computer vision applications such as moving object segmentation, human action recognition, indexing, retrieval, face detection, video classification and object tracking in compressed videos.

Los medios como formadores de la imagen de los políticos

Resumen: Cuando los medios se refieren a los candidatos políticos en una situación de campaña electoral proyectan una cierta imagen de los mismos a partir de las verbalizaciones que preponderan en los mensajes informativos. El presente trabajo analiza estas verbalizaciones de los medios en el marco de la teoría de la Agenda Setting, más específicamente en el segundo nivel de esta teoría, la cual hace referencia a los atributos o aspectos que caracterizan a los protagonistas de las noticias, para este estudio en particular, los políticos. Esta teoría fue puesta a prueba repetidamente desde su aplicación en las elecciones estadounidenses de 1968 de la mano de sus autores Maxwell McCombs y Donald Shaw. La misma se ha extendido con paso firme desde su país de origen hacia otras latitudes. El objetivo general es describir la imagen de los candidatos presidenciales a partir de las expresiones que preponderan en los medios masivos de comunicación, durante la campaña presidencial en Argentina ocurrida en octubre de 2011. El procedimiento consiste en el relevamiento realizado durante los meses anteriores a las elecciones presidenciales. Para ello fue necesario armar un corpus compuesto por la selección de los medios masivos de comunicación a analizar. Seguidamente se realiza el análisis de contenido del corpus y se procede al análisis de los datos, de ello deriva una base de datos, donde la unidad de análisis fue la mención de los diversos aspectos o características de los candidatos políticos. Los aspectos o características fueron tomados de investigaciones anteriores que aplicaron la misma metodología y que fueron realizadas en nuestro país también en situaciones de contextos electorales. Por ello es factible de efectuar comparaciones en el tiempo, ya que una de las enormes riquezas de la teoría de la Agenda Setting es la de ser susceptible de comparación por tratarse de una metodología de análisis sistemático. La revisión de la teoría de la Agenda Setting que enmarca esta investigación pretende introducirnos primeramente en las investigaciones de medios masivos en general para luego focalizar en la teoría propiamente dicha y más aún en el segundo nivel de la teoría que trata de los atributos de los personajes públicos Se realiza posteriormente una breve sinopsis de investigaciones en Latinoamérica y Argentina, sobre temas relacionados con campañas electorales y no electorales para finalmente de manera concatenada dar cuenta de trabajos realizados en nuestro país en situaciones de campañas políticas

Lo visual como construcción. Desarrollo de un modelo pictórico de representación de la imagen

903 páginas, bibliografía en páginas 854-895, glosario en páginas 896-903

El entorno español para la creación de nuevas empresas de base tecnológica: La actividad de I+D+I en España. Una comparación internacional

La creación de empresas de base tecnológica en un determinado país o región requiere que se cumplan una serie de requisitos previos: inversión en I+D, capital-riesgo, una cultura emprendedora, programas específicos de apoyo a la creación de este tipo de empresas, un marco regulatorio-institucional favorable y un sistema social en red en el que las empresas compitan entre sí, pero al mismo tiempo aprendan unas de otras. En este trabajo se pretende evaluar la posición española en la actividad de I+D+I comparándola con el promedio de la Unión Europea, con algún país europeo significativo y con Estados Unidos, como país de referencia en este campo. Para ello, las principales fuentes de datos utilizadas son el Eurostat, la OCDE, la Comisión Europea, el INE, el Banco de España y la Oficina Española de Patentes y Marcas.

Resultado contable - Base Imponible en las Cuentas Anuales

Este artículo tiene como objeto plantear las relaciones entre el resultado contable y la base imponible en las cuentas anuales. Ello implica la relacion existente entre dos opticas con finalidades diferentes. Por un lado, desde el punto de vista mercantil, informar al posible interesado en relación a la imagen fiel del patrimonio,situación finaciera y de los resultados de la empresa y por otro lado desde la óptica tributaria, la valoración,la cuantificación, de un hecho imponible.

DADAISM Project Plan

The DADAISM project brings together researchers from the diverse fields of archaeology, human computer interaction, image processing, image search and retrieval, and text mining to create a rich interactive system to address the problems of researchers finding images relevant to their research. In the age of digital photography, thousands of images are taken of archaeological artefacts. These images could help archaeologists enormously in their tasks of classification and identification if they could be related to one another effectively. They would yield many new insights on a range of archaeological problems. However, these images are currently greatly underutilized for two key reasons. Firstly, the current paradigm for interaction with image collections is basic keyword search or, at best, simple faceted search. Secondly, even if these interactions are possible, the metadata related to the majority of images of archaeological artefacts is scarce in information relating to the content of the image and the nature of the artefact, and is time intensive to enter manually. DADAISM will transform the way in which archaeologists interact with online image collections. It will deploy user-centred design methodologies to create an interactive system that goes well beyond current systems for working with images, and will support archaeologists’ tasks of finding, organising, relating and labelling images as well as other relevant sources of information such as grey literature documents.

La gestión del conocimiento como base de la estrategia basada en los recursos y capacidades de la empresa

Este artículo dice que la gestión del conocimiento va a ser un factor fundamental en la gestión empresarial en los próximos años, convirtiéndose en el elemento clave para asegurar la competitividad y la supervivencia de las organizaciones, ya que las empresas que mejor gestionen su conocimiento estarán en mejores condiciones de afrontar los retos que el cambiante entorno competitivo deparará en el futuro a su organización.