Results 11 to 20 of about 70,451 (127)
Sensors, 2020 Since most computer vision approaches are now driven by machine learning, the current bottleneck is the annotation of images. This time-consuming task is usually performed manually after the acquisition of images.
Salma Samiei +4 more
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Automatic Annotation of Structured Facts in Images [PDF]
Proceedings of the 5th Workshop on Vision and Language, 2016 Motivated by the application of fact-level image understanding, we present an automatic method for data collection of structured visual facts from images with captions. Example structured facts include attributed objects (e.g., ), actions (e.g., ), interactions (e.g., ), and positional information (e.g., ).
Ahmed Elgammal +4 more
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Fuzzy Neighbor Voting for Automatic Image Annotation [PDF]
Journal of Electrical and Computer Engineering Innovations, 2016 With quick development of digital images and the availability of imaging tools, massive amounts of images are created. Therefore, efficient management and suitable retrieval, especially by computers, is one of themost challenging fields in image ...
V. Maihami, F. Yaghmaee
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Image auto-annotation with automatic selection of the annotation length [PDF]
Journal of Intelligent Information Systems, 2012 Developing a satisfactory and effective method for auto-annotating images that works under general conditions is a challenging task. The advantages of such a system would be manifold: it can be used to annotate existing, large databases of images, rendering them accessible to text search engines; or it can be used as core for image retrieval based on a
Halina Kwasnicka +2 more
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ENCAPSULATION OF IMAGE METADATA FOR EASE OF RETRIEVAL AND MOBILITY [PDF]
Applied Computer Science, 2019 Increasing proliferation of images due to multimedia capabilities of hand-held devices has resulted in loss of source information resulting from inherent mobility.
Nancy WOODS, Charles ROBERT
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Hybrid image representation methods for automatic image annotation: a survey [PDF]
, 2012 In most automatic image annotation systems, images are represented with low level features using either global methods or local methods. In global methods, the entire image is used as a unit.
Bechkoum, Kamal +3 more
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A Cross-media Model for Automatic Image Annotation [PDF]
Proceedings of International Conference on Multimedia Retrieval, 2014 Automatic image annotation is still an important open problem in multimedia and computer vision. The success of media sharing websites has led to the availability of large collections of images tagged with human-provided labels. Many approaches previously proposed in the literature do not accurately capture the intricate dependencies between image ...
BALLAN, LAMBERTO +3 more
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Frontiers in Big Data, 2023 Color similarity has been a key feature for content-based image retrieval by contemporary search engines, such as Google. In this study, we compare the visual content information of images, obtained through color histograms, with their corresponding ...
Stamatios Giannoulakis +2 more
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Automatic Image Annotation by Sequentially Learning From Multi-Level Semantic Neighborhoods
IEEE Access, 2021 Automatic image annotation is a key technology in image understanding and pattern recognition, and is becoming increasingly important in order to annotate large-scale images.
Houjie Li +5 more
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Context-aware person identification in personal photo collections [PDF]
, 2009 Identifying the people in photos is an important need for users of photo management systems. We present MediAssist, one such system which facilitates browsing, searching and semi-automatic annotation of personal photos, using analysis of both image ...
O'Hare, Neil, Smeaton, Alan F.
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