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Relevant bibliographies by topics / Multimodal Information Retrieval / Dissertations / Theses

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Dissertations / Theses on the topic 'Multimodal Information Retrieval'

Author: Grafiati

Published: 25 May 2024

Last updated: 31 July 2025

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1

Adebayo, Kolawole John <1986&gt. "Multimodal Legal Information Retrieval." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2018. http://amsdottorato.unibo.it/8634/1/ADEBAYO-JOHN-tesi.pdf.

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The goal of this thesis is to present a multifaceted way of inducing semantic representation from legal documents as well as accessing information in a precise and timely manner. The thesis explored approaches for semantic information retrieval (IR) in the Legal context with a technique that maps specific parts of a text to the relevant concept. This technique relies on text segments, using the Latent Dirichlet Allocation (LDA), a topic modeling algorithm for performing text segmentation, expanding the concept using some Natural Language Processing techniques, and then associating the text

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2

Valero-Mas, Jose J. "Towards Interactive Multimodal Music Transcription." Doctoral thesis, Universidad de Alicante, 2017. http://hdl.handle.net/10045/71275.

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La transcripción de música por computador es de vital importancia en tareas del llamo campo de la Extracción y recuperación de información musical por su utilidad como proceso para la obtención de una abstracción simbólica que codifica el contenido musical de un fichero de audio. En esta disertación se estudia este problema desde una perspectiva diferente a la típicamente considerada para estos problemas, la perspectiva interactiva y multimodal. En este paradigma el usuario cobra especial importancia puesto que es parte activa en la resolución del problema (interactividad); por otro lado, la m

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3

Fedel, Gabriel de Souza. "Busca multimodal para apoio à pesquisa em biodiversidade." [s.n.], 2011. http://repositorio.unicamp.br/jspui/handle/REPOSIP/275751.

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Orientador: Cláudia Maria Bauzer Medeiros<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Instituto de Computação<br>Made available in DSpace on 2018-08-18T07:07:49Z (GMT). No. of bitstreams: 1 Fedel_GabrieldeSouza_M.pdf: 14390093 bytes, checksum: 63058da33a22121e927f1cdbaff297d3 (MD5) Previous issue date: 2011<br>Resumo: A pesquisa em computação aplicada à biodiversidade apresenta muitos desafios, que vão desde o grande volume de dados altamente heterogêneos até a variedade de tipos de usuários. Isto gera a necessidade de ferramentas versáteis de recuperação. As ferramentas d

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4

Quack, Till. "Large scale mining and retrieval of visual data in a multimodal context." Konstanz Hartung-Gorre, 2009. http://d-nb.info/993614620/04.

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5

Calumby, Rodrigo Tripodi 1985. "Recuperação multimodal de imagens com realimentação de relevância baseada em programação genética." [s.n.], 2010. http://repositorio.unicamp.br/jspui/handle/REPOSIP/275814.

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Orientador: Ricardo da Silva Torres<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Instituto de Computação<br>Made available in DSpace on 2018-08-16T05:18:58Z (GMT). No. of bitstreams: 1 Calumby_RodrigoTripodi_M.pdf: 15749586 bytes, checksum: 2493b0b703adc1973eeabf7eb70ad21c (MD5) Previous issue date: 2010<br>Resumo: Este trabalho apresenta uma abordagem para recuperação multimodal de imagens com realimentação de relevância baseada em programação genética. Supõe-se que cada imagem da coleção possui informação textual associada (metadado, descrição textual, etc.), além de ter

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6

SIMONETTA, FEDERICO. "MUSIC INTERPRETATION ANALYSIS. A MULTIMODAL APPROACH TO SCORE-INFORMED RESYNTHESIS OF PIANO RECORDINGS." Doctoral thesis, Università degli Studi di Milano, 2022. http://hdl.handle.net/2434/918909.

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This Thesis discusses the development of technologies for the automatic resynthesis of music recordings using digital synthesizers. First, the main issue is identified in the understanding of how Music Information Processing (MIP) methods can take into consideration the influence of the acoustic context on the music performance. For this, a novel conceptual and mathematical framework named “Music Interpretation Analysis” (MIA) is presented. In the proposed framework, a distinction is made between the “performance” – the physical action of playing – and the “interpretation” – the action that

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7

Meseguer, Brocal Gabriel. "Multimodal analysis : informed content estimation and audio source separation." Electronic Thesis or Diss., Sorbonne université, 2020. http://www.theses.fr/2020SORUS111.

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Cette thèse propose l'étude de l'apprentissage multimodal dans le contexte de signaux musicaux. Tout au long de ce manuscrit, nous nous concentrerons sur l'interaction entre les signaux audio et les informations textuelles. Parmi les nombreuses sources de texte liées à la musique qui peuvent être utilisées (par exemple les critiques, les métadonnées ou les commentaires des réseaux sociaux), nous nous concentrerons sur les paroles. La voix chantée relie directement le signal audio et les informations textuelles d'une manière unique, combinant mélodie et paroles où une dimension linguistique com

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8

Nag, Chowdhury Sreyasi [Verfasser]. "Text-image synergy for multimodal retrieval and annotation / Sreyasi Nag Chowdhury." Saarbrücken : Saarländische Universitäts- und Landesbibliothek, 2021. http://d-nb.info/1240674139/34.

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9

Inagaki, Yasuyoshi, Katsuhiko Toyama, Nobuo Kawaguchi та ін. "Sync/Mail : 話し言葉の漸進的変換に基づく即時応答インタフェース". 一般社団法人情報処理学会, 1998. http://hdl.handle.net/2237/15382.

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10

Lerner, Paul. "Répondre aux questions visuelles à propos d'entités nommées." Electronic Thesis or Diss., université Paris-Saclay, 2023. http://www.theses.fr/2023UPASG074.

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Cette thèse se positionne à l'intersection de plusieurs domaines de recherche, le traitement automatique des langues, la Recherche d'Information (RI) et la vision par ordinateur, qui se sont unifiés autour des méthodes d'apprentissage de représentation et de pré-entraînement. Dans ce contexte, nous avons défini et étudié une nouvelle tâche multimodale : répondre aux questions visuelles à propos d'entités nommées (KVQAE). Dans ce cadre, nous nous sommes particulièrement intéressés aux interactions cross-modales et aux différentes façons de représenter les entités nommées. Nous avons également é

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11

Karlsson, Kristina. "Semantic represenations of retrieved memory information depend on cue-modality." Thesis, Stockholms universitet, Psykologiska institutionen, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-58817.

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The semantic content (i.e., meaning of words) is the essence of retrieved autobiographical memories. In comparison to previous research, which has mainly focused on phenomenological experiences and age distribution of memory events, the present study provides a novel view on the retrieval of event information by addressing the semantic representation of memories. In the present study the semantic representation (i.e., word locations represented by vectors in a high dimensional space) of retrieved memory information were investigated, by analyzing the data with an automatic statistical algorith

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12

Slizovskaia, Olga. "Audio-visual deep learning methods for musical instrument classification and separation." Doctoral thesis, Universitat Pompeu Fabra, 2020. http://hdl.handle.net/10803/669963.

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In music perception, the information we receive from a visual system and audio system is often complementary. Moreover, visual perception plays an important role in the overall experience of being exposed to a music performance. This fact brings attention to machine learning methods that could combine audio and visual information for automatic music analysis. This thesis addresses two research problems: instrument classification and source separation in the context of music performance videos. A multimodal approach for each task is developed using deep learning techniques to train an encoded

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13

Poignant, Johann. "Identification non-supervisée de personnes dans les flux télévisés." Phd thesis, Université de Grenoble, 2013. http://tel.archives-ouvertes.fr/tel-00958774.

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Ce travail de thèse a pour objectif de proposer plusieurs méthodes d'identi- fication non-supervisées des personnes présentes dans les flux télévisés à l'aide des noms écrits à l'écran. Comme l'utilisation de modèles biométriques pour reconnaître les personnes présentes dans de larges collections de vidéos est une solution peu viable sans connaissance a priori des personnes à identifier, plusieurs méthodes de l'état de l'art proposent d'employer d'autres sources d'informations pour obtenir le nom des personnes présentes. Ces méthodes utilisent principalement les noms prononcés comme source de

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14

Pinho, Eduardo Miguel Coutinho Gomes de. "Multimodal information retrieval in medical imaging archives." Doctoral thesis, 2019. http://hdl.handle.net/10773/29206.

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The proliferation of digital medical imaging modalities in hospitals and other diagnostic facilities has created huge repositories of valuable data, often not fully explored. Moreover, the past few years show a growing trend of data production. As such, studying new ways to index, process and retrieve medical images becomes an important subject to be addressed by the wider community of radiologists, scientists and engineers. Content-based image retrieval, which encompasses various methods, can exploit the visual information of a medical imaging archive, and is known to be beneficial to

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15

Mourão, André Belchior. "Towards an Architecture for Efficient Distributed Search of Multimodal Information." Doctoral thesis, 2018. http://hdl.handle.net/10362/38850.

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The creation of very large-scale multimedia search engines, with more than one billion images and videos, is a pressing need of digital societies where data is generated by multiple connected devices. Distributing search indexes in cloud environments is the inevitable solution to deal with the increasing scale of image and video collections. The distribution of such indexes in this setting raises multiple challenges such as the even partitioning of data space, load balancing across index nodes and the fusion of the results computed over multiple nodes. The main question behind this thesis is

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