Automatic Image Tagging Using Community-Driven Online Image Databases
نویسندگان
چکیده
Automatic image tagging is becoming increasingly important to organize large amounts of image data. To identify concepts in images, these tagging systems rely on large sets of annotated image training sets. In this work we analyze image sets taken from online community-driven image databases, such as Flickr, for use in concept identification. Realworld performance is measured using our flexible tagging system, Tagr.
منابع مشابه
Tagr: Automatic Image Tagging for Random Imagery
Tagr, an automatic image tagging system is introduced, that assigns content description tags to arbitrary photographic and non-photographic images, using massive online image libraries, such as Flickr for training. Combining techniques from machine learning and content-based image retrieval, a flexible system is introduced to automatically tag a wide variety of images from various sources. A nu...
متن کاملSEIMCHA: a new semantic image CAPTCHA using geometric transformations
As protection of web applications are getting more and more important every day, CAPTCHAs are facing booming attention both by users and designers. Nowadays, it is well accepted that using visual concepts enhance security and usability of CAPTCHAs. There exist few major different ideas for designing image CAPTCHAs. Some methods apply a set of modifications such as rotations to the original imag...
متن کاملPredictive Tagging of Social Media Images using Unsupervised Learning
The popularity of online social media has provided a huge repository of multimedia contents. To effectively retrieve and store this multimedia content and to mine useful pattern from this data is a herculean task. This paper deals with the problems of social image tagging. Multimedia tagging i.e. assigning tags or some keywords to multimedia contents like images, audio, video etc. by users is r...
متن کاملTags Re-ranking Using Multi-level Features in Automatic Image Annotation
Automatic image annotation is a process in which computer systems automatically assign the textual tags related with visual content to a query image. In most cases, inappropriate tags generated by the users as well as the images without any tags among the challenges available in this field have a negative effect on the query's result. In this paper, a new method is presented for automatic image...
متن کاملAutomatic Face Recognition via Local Directional Patterns
Automatic facial recognition has many potential applications in different areas of humancomputer interaction. However, they are not yet fully realized due to the lack of an effectivefacial feature descriptor. In this paper, we present a new appearance based feature descriptor,the local directional pattern (LDP), to represent facial geometry and analyze its performance inrecognition. An LDP feat...
متن کامل