In recent years, there has been an increasing interest in image anonymization, particularly focusing on the de-identification of faces and individuals. However, for self-driving applications, merely de-identifying faces and individuals might not provide sufficient privacy protection since street views like vehicles and buildings can still disclose locations, trajectories, and other sensitive information. Therefore, it remains crucial to extend anonymization techniques to street view images to fully preserve the privacy of users, pedestrians, and vehicles. In this paper, we propose a Street View Image Anonymization (SVIA) framework for self-driving applications. The SVIA framework consists of three integral components: a semantic segmenter to segment an input image into functional regions, an inpainter to generate alternatives to privacy-sensitive regions, and a harmonizer to seamlessly stitch modified regions to guarantee visual coherence. Compared to existing methods, SVIA achieves a much better trade-off between image generation quality and privacy protection, as evidenced by experimental results for five common metrics on two widely used public datasets.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    SVIA: A Street View Image Anonymization Framework for Self-Driving Applications


    Beteiligte:
    Liu, Dongyu (Autor:in) / Wang, Xuhong (Autor:in) / Chen, Cen (Autor:in) / Wang, Yanhao (Autor:in) / Yao, Shengyue (Autor:in) / Lin, Yilun (Autor:in)


    Erscheinungsdatum :

    24.09.2024


    Format / Umfang :

    10502310 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    IMAGE ANONYMIZATION APPARATUS, IMAGE ANONYMIZATION METHOD, AND PROGRAM

    AIZAWA CHITEI | Europäisches Patentamt | 2021

    Freier Zugriff

    ANONYMIZATION SYSTEM

    KOMATSU SHUHEI | Europäisches Patentamt | 2019

    Freier Zugriff

    POSITION INFORMATION ANONYMIZATION METHOD, MOVEMENT INFORMATION ANONYMIZATION METHOD, AND DEVICE

    HIKITA TOSHIRO / YANAGIHARA TADASHI / TANAKA YUSUKE et al. | Europäisches Patentamt | 2016

    Freier Zugriff

    VIEW SYNTHESIS FOR SELF-DRIVING

    ZHUANG BINGBING / JIANG ZIYU / LIU BUYU et al. | Europäisches Patentamt | 2025

    Freier Zugriff

    SYSTEM AND METHOD FOR VEHICLE LOCATION ANONYMIZATION

    TINSLEY BRYAN PATRICK / HATFIELD CAMERON CARSON / GARLICK MICHAEL SHAWN | Europäisches Patentamt | 2022

    Freier Zugriff