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Listar por autor "Oliver Moll, Javier"

Mostrando ítems 1-12 de 12

A Hybrid Real-Time Vision-Based Person Detection Method

Oliver Moll, Javier; Albiol Colomer, Alberto; Morillas, Samuel; Peris Fajarnes, Guillermo (Instituto de Telecomunicaciones y Aplicaciones Multimedia (ITEAM)", 2011)

[EN] In this paper, we introduce a hybrid real-time method for vision-based pedestrian detection made up by the sequential combination of two basic methods applied in a coarse to fine fashion. The proposed method aims ...
Advancing Content-Based Histopathological Image Retrieval Pre-Processing: A Comparative Analysis of the Effects of Color Normalization Techniques

Tabatabaei, Zahra; Pérez Bueno, Fernando; Colomer, Adrián; Oliver Moll, Javier; Molina, Rafael; Naranjo Ornedo, Valeriana (MDPI AG, 2024-03)

[EN] Content-Based Histopathological Image Retrieval (CBHIR) is a search technique based on the visual content and histopathological features of whole-slide images (WSIs). CBHIR tools assist pathologists to obtain a faster ...
Deep Learning for Skin Melanocytic Tumors in Whole-Slide Images: A Systematic Review

Mosquera-Zamudio, Andrés; Launet, Laetitia; Tabatabaei, Zahra; Parra-Medina, Rafael; Colomer, Adrián; Oliver Moll, Javier; Monteagudo, Carlos; Janssen, Emiel; Naranjo Ornedo, Valeriana (MDPI AG, 2023-01)

[EN] Simple Summary Deep learning (DL) is expanding into the surgical pathology field and shows promising outcomes in diminishing subjective interpretations, especially in dermatopathology. We aim to show the efforts of ...
Deep learning strategies for histological image retrieval

Tabatabaei, Zahra (Universitat Politècnica de València, 2024-09-02)

[ES] Según World Health Organization (WHO), el cáncer es una de las principales causas de muerte a nivel mundial, con cerca de 10 millones de fallecimientos en 2020. Esto significa que aproximadamente una de cada seis ...
Detección de Personas en secuencias de vídeo en tiempo real

Oliver Moll, Javier (Universitat Politècnica de València, 2011-11-04)

[ES] En este trabajo se presenta un estudio sobre la viabilidad en el uso de una combinación de métodos para detección de personas en secuencias de vídeo en tiempo real. Se utilizan técnicas de boosting para una primera ...
Diseño y desarrollo de un sistema recomendador de calzado

Martí Sanz, Sergio (Universitat Politècnica de València, 2020-12-22)

[ES] El comercio electrónico está suponiendo un cambio revolucionario para sectores como el de la moda y el calzado, sin embargo, esto también trae consigo una serie de problemas. La falta de estatización de sus productos ...
Ground truth annotation of traffic video data

Mossi García, José Manuel; Albiol Colomer, Antonio José; Albiol Colomer, Alberto; Oliver Moll, Javier (Springer Verlag (Germany), 2014-05)

This paper presents a software application to generate ground-truth data on video files from traffic surveillance cameras used for Intelligent Transportation Systems (IT systems). The computer vision system to be evaluated ...
PERSON RE-IDENTIFICATION USING RGB-DEPTH CAMERAS

Oliver Moll, Javier (Universitat Politècnica de València, 2015-12-29)

[EN] The presence of surveillance systems in our lives has drastically increased during the last years. Camera networks can be seen in almost every crowded public and private place, which generate huge amount of data with ...
Toward More Transparent and Accurate Cancer Diagnosis With an Unsupervised CAE Approach

Tabatabaei, Zahra; Colomer, Adrián; Oliver Moll, Javier; Naranjo Ornedo, Valeriana (Institute of Electrical and Electronics Engineers, 2023-12-18)

[EN] According to the Global Cancer Observatory, 2020, breast cancer is the most prevalent cancer type in both genders (11.7%), while prostate cancer is the second most common cancer type in men (14.1%). In digital pathology, ...
Using latent features for short-term person re-identification with RGB-D cameras

Oliver Moll, Javier; Albiol Colomer, Alberto; Albiol Colomer, Antonio José; Mossi García, José Manuel (Springer Verlag (Germany), 2016-05)

This paper presents a system for people re-identification in uncontrolled scenarios using RGB-depth cameras. Compared to conventional RGB cameras, the use of depth information greatly simplifies the tasks of segmentation ...
Who is who at different cameras: people re-identification using depth cameras

Albiol Colomer, Antonio José; Albiol Colomer, Alberto; Oliver Moll, Javier; Mossi García, José Manuel (Institution of Engineering and Technology (IET), 2012-09)

This study proposes the concept of bodyprints to perform re-identification of people in surveillance videos. Bodyprints are obtained using calibrated depth-colour cameras such as kinect. The author's results on a database ...
WWFedCBMIR: World-Wide Federated Content-Based Medical Image Retrieval

Tabatabaei, Zahra; Wang, Yuandou; Colomer, Adrián; Oliver Moll, Javier; Zhao, Zhiming; Naranjo Ornedo, Valeriana (MDPI AG, 2023-09-28)

[EN] The paper proposes a federated content-based medical image retrieval (FedCBMIR) tool that utilizes federated learning (FL) to address the challenges of acquiring a diverse medical data set for training CBMIR models. ...