Information related to the image capture such as date, location, camera settings or name of photographer is often available from the digital camera used to take the photograph. The owner can further add a relevant title, filename or/and descriptive caption or any other textual reference. If the image is uploaded to a shared photo collection, additional comments are frequently added to the image by other users. On the other hand, images used in documents, i.e. web pages, frequently have captions and surrounding text. All this information can be considered image metadata and is of value for organizing, sharing, and processing images.
Topics of interest include, but are not limited to:
– Image metadata pattern discovery and mining
– Interaction of image metadata and visual content
– Image and video metadata enrichment
– Automatic metadata creation
– Hybrid collaborative and machine learning techniques for metadata creation
– Cross image-text categorization and retrieval
– Image auto-captioning and annotation transfer
– Learning user preferences, aesthetical and emotional measures from opinion mining
– Integration of camera settings with image categorization, retrieval or enhancement
– Application-specific issues of metadata mining:
o Integration of visual and geo-location information for improved virtual tourism
o Stock-photo
o Web-based image retrieval
The Workshop is part of VISAPP is part of VISIGRAPP - The International Joint Conference on Computer Vision and Computer Graphics Theory and Applications. Registration to VISAPP allows free access to GRAPP conference.'
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