CTM - Indexed Articles in Conferences

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Browsing CTM - Indexed Articles in Conferences by Author "4358"
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    Content Adaptation Decision to Enhance the Access to Networked Multimedia Content
    ( 2006) Maria Teresa Andrade ; Pedro Souto ; Pedro Miguel Carvalho ; Lucian Ciobanu ; 400 ; 4358 ; 4430 ; 4558
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    Context-aware content adaptation: a systems approach
    ( 2006) Maria Teresa Andrade ; Hélder Fernandes Castro ; Pedro Miguel Carvalho ; Pedro Souto ; P. Bretillon ; B. Feiten ; 400 ; 4358 ; 4487 ; 4558
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    Enhancing Photography Management Through Automatically Extracted Metadata
    ( 2022) Pedro Miguel Carvalho ; Freitas,D ; Machado,T ; Paula Viana ; 1107 ; 4358
    The tremendous increase in photographs that are captured each day by common users has been favoured by the availability of high quality devices at accessible costs, such as smartphones and digital cameras. However, the quantity of captured photos raises new challenges regarding the access and management of image repositories. This paper describes a lightweight distributed framework intended to help overcome these problems. It uses image metadata in EXIF format, already widely added to images by digital acquisition devices, and automatic facial recognition to provide management and search functionalities. Moreover, a visualization functionality using a graph-based strategy was integrated, enabling an enhanced and more interactive navigation through search results and the corresponding relations.
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    Face Detection in Thermal Images with YOLOv3
    ( 2019) Silva,G ; Monteiro,R ; Ferreira,A ; Pedro Miguel Carvalho ; Luís Corte Real ; 4358 ; 243
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    Improving Audiovisual Content Annotation Through a Semi-automated Process Based on Deep Learning
    ( 2018) Paula Viana ; Maria Teresa Andrade ; Pedro Miguel Carvalho ; Vilaça,L ; 1107 ; 4358 ; 400
    Over the last years, Deep Learning has become one of the most popular research fields of Artificial Intelligence. Several approaches have been developed to address conventional challenges of AI. In computer vision, these methods provide the means to solve tasks like image classification, object identification and extraction of features. In this paper, some approaches to face detection and recognition are presented and analyzed, in order to identify the one with the best performance. The main objective is to automate the annotation of a large dataset and to avoid the costy and time-consuming process of content annotation. The approach follows the concept of incremental learning and a R-CNN model was implemented. Tests were conducted with the objective of detecting and recognizing one personality within image and video content. Results coming from this initial automatic process are then made available to an auxiliary tool that enables further validation of the annotations prior to uploading them to the archive. Tests show that, even with a small size dataset, the results obtained are satisfactory. © 2020, Springer Nature Switzerland AG.
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    Multimedia Terminal Architecture: An Inter-Operable Approach
    ( 2008) Beilu Shao ; Marco Mattavelli ; Maria Teresa Andrade ; Samuel Keller ; Pedro Miguel Carvalho ; 400 ; 4358
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    A multimedia terminal for adaptation and end-to-end Qos control
    ( 2008) Beilu Shao ; Marco Mattavelli ; Daniele Renzi ; Maria Teresa Andrade ; Pedro Miguel Carvalho ; 400 ; 4358
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    Semantic Storytelling Automation: A Context-Aware and Metadata-Driven Approach
    ( 2020) Paula Viana ; Pedro Miguel Carvalho ; Maria Teresa Andrade ; Jonker,PP ; Papanikolaou,V ; Teixeira,IN ; Vilaça,L ; Pinto,JP ; Tiago André Costa ; 4358 ; 5363 ; 400 ; 1107
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    Streamlining Action Recognition in Autonomous Shared Vehicles with an Audiovisual Cascade Strategy
    ( 2022) João Tiago Pinto ; Pedro Miguel Carvalho ; Pinto,C ; Sousa,A ; Leonardo Gomes Capozzi ; Jaime Cardoso ; 3889 ; 4358 ; 7250 ; 8288