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General scheme of content-based image retrieval. Content-based image retrieval, also known as query by image content and content-based visual information retrieval (CBVIR), is the application of computer vision techniques to the image retrieval problem, that is, the problem of searching for digital images in large databases (see this survey [1] for a scientific overview of the CBIR field).
ExifTool is a free and open-source software program for reading, writing, and manipulating image, audio, video, and PDF metadata.As such, ExifTool classes as a tag editor.It is platform independent, available as both a Perl library (Image::ExifTool) and a command-line application.
Output of DenseCap "dense captioning" software, analysing a photograph of a man riding an elephant. Automatic image annotation (also known as automatic image tagging or linguistic indexing) is the process by which a computer system automatically assigns metadata in the form of captioning or keywords to a digital image.
Since the Exif tag contains metadata about the photo, it can pose a privacy problem. For example, a photo taken with a GPS-enabled camera can reveal the exact location and time it was taken, and the unique ID number of the device - this is all done by default - often without the user's knowledge. Many users may be unaware that their photos are ...
Meta AI: Google Scanned Objects Scanned objects in SDF format. over 10 million 2022 [52] Google AI: Objectverse-XL 3D objects over 10 million 3D objects, metadata novel view synthesis, 3D object generation 2023 [61] Deitke et al. OmniObject3D Scanned objects, labelled in 190 daily categories 6,000 textured meshes, point clouds, multiview images ...
An image retrieval system is a computer system used for browsing, searching and retrieving images from a large database of digital images. Most traditional and common methods of image retrieval utilize some method of adding metadata such as captioning, keywords, title or descriptions to the images so that retrieval can be performed over the annotation words.
In metadata, metadata discovery (also metadata harvesting) is the process of using automated tools to discover the semantics of a data element in data sets. This process usually ends with a set of mappings between the data source elements and a centralized metadata registry. Metadata discovery is also known as metadata scanning.
File renaming, single-click background copy/move to preset location, single-click rating/labeling (writes Adobe XMP sidecar files and/or embeds XMP metadata within JPEG/TIFF/HD Photo/JPEG XR), Windows rating, color management including custom target profile selection, Unicode support, Exif shooting data (shutter speed, f-stop, ISO speed ...