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Digital Photo Classification Methodology For Groups Of Photographers

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A Complete Guide to Image Classification in 2022 - viso.ai

    https://viso.ai/computer-vision/image-classification/#:~:text=In%20digital%20image%20processing%2C%20image%20classification%20is%20done,features%2C%20lowering%20the%20workload%20on%20the%20final%20classifier.
    none

Digital photo classification methodology for groups of …

    https://link.springer.com/article/10.1007/s11042-010-0485-3
    none

Digital photo classification methodology for groups of …

    https://www.researchgate.net/publication/225590708_Digital_photo_classification_methodology_for_groups_of_photographers
    They cluster concurrent photos by first selecting a preferred sequence and then estimating, via temporal analysis, the basis clusters that will be used as a reference model for the remaining...

Digital photo classification methodology for groups of …

    https://dl.acm.org/doi/10.1007/s11042-010-0485-3
    Since previous studies only considered a single user's photo collection, they are not applicable to concurrent photos obtained from a group of photographers. To handle this situation, we define temporal/spatial combined clustering for the set of group photos taken from different cameras.

Digital photo classification methodology for groups …

    https://www.researchgate.net/profile/Hwan-Gue-Cho/publication/225590708_Digital_photo_classification_methodology_for_groups_of_photographers/links/567351bc08aee7a4274386a4/Digital-photo-classification-methodology-for-groups-of-photographers.pdf
    An example is group photos taken by a few tourists at a well-known sightseeing location, e.g. Eiffel Tower, Stanley Park or Great Wall. Previous studies on …

Digital photo classification methodology for groups of …

    https://www.semanticscholar.org/paper/Digital-photo-classification-methodology-for-groups-Jang-Yoon/874a364a8edd02c4fc27952a9484581c5ee40f0b
    Novel clustering algorithms for concurrent digital photos obtained from multiple cameras based on temporal (spatial) and temporal/spatial combined clustering for the set of group photos taken from different cameras are proposed. Digital cameras have become an essential product when traveling or attending events.

Digital photo classification methodology for groups of …

    https://www.semanticscholar.org/paper/Digital-photo-classification-methodology-for-groups-Jang-Yoon/874a364a8edd02c4fc27952a9484581c5ee40f0b/figure/12
    A set of photos in a horizontal row denotes a cluster (or relocated sub-cluster). Clusters are arranged along the vertical time axis. Photos in a cluster are arranged horizontally according to the temporal order. Redundant or highly similar photos are overlapped automatically - "Digital photo classification methodology for groups of photographers"

Digital photo classification methodology for groups of …

    https://www.infona.pl/resource/bwmeta1.element.springer-ae18acce-a273-3bc3-905f-dd066833bfbf
    To handle this situation, we define temporal/spatial combined clustering for the set of group photos taken from different cameras. If photos are submitted from a camera whose user has shown a preference between spatial and temporal clustering, we can obtain customized clustering output from other photo sets according to the reference clustering characteristics.

Classification of digital photos taken by photographers or …

    https://www.academia.edu/2381054/Classification_of_digital_photos_taken_by_photographers_or_home_users
    In this paper, we address a specific image classification task, i.e. to group images according to whether they were taken by photogra- phers or home users. Firstly, a set of low-level features explicitly related to such high-level semantic concept are investigated together with a set of general-purpose low-level features.

A Complete Guide to Image Classification in 2022 - viso.ai

    https://viso.ai/computer-vision/image-classification/
    Pattern recognition and image clustering are two of the most common image classification methods used here. Two popular algorithms used for unsupervised image classification are ‘K-mean’ and ‘ISODATA.’ K-means is an unsupervised classification algorithm that groups objects into k groups based on their characteristics. It is also called “clusterization.”

7 Tips for Photographing Groups - Digital Photography …

    https://digital-photography-school.com/7-tips-for-photographing-groups/
    Once you have your group positioned, work quickly. Fire off a test shot for exposure, focus, and depth of field. When checking the image on your screen, enlarge it to the maximum size and make sure everyone from the front row to the back is in focus. Adjust your aperture if necessary. When photographing smaller groups, you can get creative with ...

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