850 resultados para Text-Based Image Retrieval
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Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.
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Studies in Computational Intelligence, 616
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JPEG2000 és un estàndard de compressió d’imatges que utilitza la transformada wavelet i, posteriorment, una quantificació uniforme dels coeficients amb dead-zone. Els coeficients wavelet presenten certes dependències tant estadístiques com visuals. Les dependències estadístiques es tenen en compte a l'esquema JPEG2000, no obstant, no passa el mateix amb les dependències visuals. En aquest treball, es pretén trobar una representació més adaptada al sistema visual que la que proporciona JPEG2000 directament. Per trobar-la utilitzarem la normalització divisiva dels coeficients, tècnica que ja ha demostrat resultats tant en decorrelació estadística de coeficients com perceptiva. Idealment, el que es voldria fer és reconvertir els coeficients a un espai de valors en els quals un valor més elevat dels coeficients impliqui un valor més elevat d'aportació visual, i utilitzar aquest espai de valors per a codificar. A la pràctica, però, volem que el nostre sistema de codificació estigui integrat a un estàndard. És per això que utilitzarem JPEG2000, estàndard de la ITU que permet una elecció de les distorsions en la codificació, i utilitzarem la distorsió en el domini de coeficients normalitzats com a mesura de distorsió per a escollir quines dades s'envien abans.
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High throughput genome (HTG) and expressed sequence tag (EST) sequences are currently the most abundant nucleotide sequence classes in the public database. The large volume, high degree of fragmentation and lack of gene structure annotations prevent efficient and effective searches of HTG and EST data for protein sequence homologies by standard search methods. Here, we briefly describe three newly developed resources that should make discovery of interesting genes in these sequence classes easier in the future, especially to biologists not having access to a powerful local bioinformatics environment. trEST and trGEN are regularly regenerated databases of hypothetical protein sequences predicted from EST and HTG sequences, respectively. Hits is a web-based data retrieval and analysis system providing access to precomputed matches between protein sequences (including sequences from trEST and trGEN) and patterns and profiles from Prosite and Pfam. The three resources can be accessed via the Hits home page (http://hits. isb-sib.ch).
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This research explores the advantages and disadvantages of collaborative learning departing from two different methodological studies. In the first one, we will go deep into the reflections about group work of a student-teacher in her first experiences during a two months practicum in Sabadell's Emily Bronte. In the second one, we will analyze in a more empirical way the interaction that takes place among a trio of students engaged in a question-answering task about a text based on a three minutes vignette recorded on January 2010
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L'evolució ens els últims decennis de les possibilitats relacionades amb les tecnologies de la informació han provocat l'aparició de diferents camps, entre ells l'anomenat “recuperació de música basant-se en el contingut”, que tracta de calcular la similitud entre diferents sons. En aquest projecte hem fet una recerca sobre els diferents mètodes que existeixen avui en dia, i posteriorment n'hem comparat tres, un basat en característiques del so, un basat en la transformada discreta del cosinus, i un que combina els dos anteriors. Els resultats han mostrat, que el basat en la transformada de Fourier és el més fiable.
New developments of peace research: The impact of recent campaigns on disarmament and human security
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The present text, based on previous work done by the authors on peace research (Grasa 1990 and 2010) and the disarmament campaigns linked to Human Security (Alcalde 2009 and 2010), has two objectives. First, to present a new agenda for peace research, based on the resolution/transformation of conflicts and the promotion of collective action in furtherance of human security and human development. Second, to focus specifically on collective action and on a positive reading of some of the campaigns that have taken place during the last decades in order to see how the experiences of such will affect the future agenda for peace research and action for peace.
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In this article we analyze the reasons, within the context of Spanish industrial relations, for trade union members’ active participation in their regional union. The case of Spain is particularly interesting as the unions’ main activity, collective bargaining, is a public good. The text, based on research involving a representative survey of members of a regional branch of the “Workers” Commissions” (Comisiones Obreras) trade union, provides empirical evidence that the union presence in the workplace has a significant influence on members’ propensity for activism. By contrast, the alternative hypothesis based on instrumental reasons appears of little relevance in the Spanish industrial relations context.
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This paper proposes an automatic hand detection system that combines the Fourier-Mellin Transform along with other computer vision techniques to achieve hand detection in cluttered scene color images. The proposed system uses the Fourier-Mellin Transform as an invariant feature extractor to perform RST invariant hand detection. In a first stage of the system a simple non-adaptive skin color-based image segmentation and an interest point detector based on corners are used in order to identify regions of interest that contains possible matches. A sliding window algorithm is then used to scan the image at different scales performing the FMT calculations only in the previously detected regions of interest and comparing the extracted FM descriptor of the windows with a hand descriptors database obtained from a train image set. The results of the performed experiments suggest the use of Fourier-Mellin invariant features as a promising approach for automatic hand detection.
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This paper proposes an automatic hand detection system that combines the Fourier-Mellin Transform along with other computer vision techniques to achieve hand detection in cluttered scene color images. The proposed system uses the Fourier-Mellin Transform as an invariant feature extractor to perform RST invariant hand detection. In a first stage of the system a simple non-adaptive skin color-based image segmentation and an interest point detector based on corners are used in order to identify regions of interest that contains possible matches. A sliding window algorithm is then used to scan the image at different scales performing the FMT calculations only in the previously detected regions of interest and comparing the extracted FM descriptor of the windows with a hand descriptors database obtained from a train image set. The results of the performed experiments suggest the use of Fourier-Mellin invariant features as a promising approach for automatic hand detection.
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Työn tarkoituksena oli selvittää, miten näkymien hallintaa voidaanhelpottaa. Näkymien hallintaa lähestyttiin sekä organisaatiolle tärkeän tiedon hallinnan että konfiguraationhallintajärjestelmä ClearCasen ylläpidon kannalta. Työssä käytettiin menetelminä kirjallisuustutkimusta, mallinnusta ja konstruktiivista menetelmää. Työn alussa tutustuttiin ohjelmistojen konfiguraationhallintaan yleisesti ja työtilan hallintaan liittyviin termeihin. Työnaikana mallinnettiin ClearCasen dynaamisten näkymien hallintaprosessi ja sen pohjalta tehtiin näkymien hallintaa helpottava sovellus. Työssä kuvattiin sovelluksen muokkautuminen mallista sovellukseksi ja tarkasteltiin, miten sovelluksesta hyödytään käytännössä. Lopuksi pohdittiin näkymien hallinnan tulevaisuutta ja miten näkymien hallintaa voitaisiin jatkossa kehittää. Työn tuloksena syntyi näkymien hallintaan tarkoitettu tekstipohjainen sovellus, joka helpottaa näkymien hallintaan liittyviä ylläpitotoimia ja vuorovaikutusta ClearCasen käyttäjien kanssa. Työn aikana muodostui myös ajatuksia siitä, kuinka näkymien hallintaavoitaisiin jatkossa kehittää.
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Understanding how best to support immature writers in the development of their understanding of the writing process is an important concern for researchers and teachers. Social technologies have become key features of leisure and work place writing, yet knowledge about how to design educational settings that take full advantage of the affordances of web 2.0 technologies to support early writing is scarce. This paper presents a small scale study that investigated how writing in a wiki environment might facilitate and support students’ use of composition and revision strategies. Our findings show that wiki can enlarge young writers’ experience of the process of composition and revision both through their own efforts and by observing the process in others. In this study students employed a wide range of types of revisions both surface and text based changes. These revisions took place during the process of composition as well as at the end. It is argued here that writing in a wiki not only provides young writers with experience of a mode of composition prevalent in the contemporary work environment, but breaks up the process of writing in a way that may support students’ understanding of the processes of composition and revision.
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In this work we study the classification of forest types using mathematics based image analysis on satellite data. We are interested in improving classification of forest segments when a combination of information from two or more different satellites is used. The experimental part is based on real satellite data originating from Canada. This thesis gives summary of the mathematics basics of the image analysis and supervised learning , methods that are used in the classification algorithm. Three data sets and four feature sets were investigated in this thesis. The considered feature sets were 1) histograms (quantiles) 2) variance 3) skewness and 4) kurtosis. Good overall performances were achieved when a combination of ASTERBAND and RADARSAT2 data sets was used.
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Työ tutkii, miten yksinkertaisen opetuskäyttöön suunnatun videoneuvotteluportaalin prototyypin rakentaminen onnistuu avoimilla tekniikoilla. WebRTC mahdollistaa selaimen päällä toimivan videoneuvottelusovelluksen rakentamisen avoimia ohjelmistorajapintoja käyttäen. Prototyypin toteuttamiseen käytetään WebRTC:n lisäksi WebSocket-standardia keskustelun tahojen yhdistämiseen. WebSocket toteutetaan Node.js:ää käyttävällä socket.io-kirjastolla. Sovelluksen avulla on tarkoitus pystyä muodostamaan ääni- ja videoyhteys kahden asiakasohjelman välille. Opetuskäyttöä tukevina ominaisuuksina mukana on myös tekstipohjainen keskustelu ja mahdollisuus opetuskalvojen selaamiseen. Lopputuloksena on laajennettavissa oleva avoin videoneuvottelusovelluksen prototyyppi.
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The study examined coaches' usage of text-based computer-mediated communication (CMC) media (e.g., text-messaging, email) in the coach-player relationship. Data were collected by surveying Ontario-based male baseball coaches (n = 86) who coached players between 15 and 18 years old. Predictions were made regarding how demographic factors such as age and coaching experience affected coaches' CMC use and opinions. Results indicated that over 76% of respondents never used any CMC media other than email and team websites in their interactions with players. Results also revealed that coaches' usage rates contrasted with their opinion of the usefulness of the media, and their perception of players' use of the media. Coaches characterized most CMC media as limited, unnecessary, and sometimes inappropriate. Additional research should explore players' CMC usage rates and possible guidelines for use of the new media in authority relationships. Academia needs to keep pace with the developments in this area.