Results 281 to 290 of about 105,087 (335)
Some of the next articles are maybe not open access.
Automatic image annotation refinement
2016 39th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2016Automatic image annotation methods automatically assign labels to images in order to facilitate tasks such as image retrieval, search, organizing and management. Incorrect labels may negatively influence the search results so image annotation should be as accurate as possible.
Pobar, Miran, Ivašić-Kos, Marina
openaire +1 more source
Geo-based automatic image annotation
Proceedings of the 2nd ACM International Conference on Multimedia Retrieval, 2012A huge number of user-tagged images are daily uploaded to the web. Recently, a growing number of those images are also geotagged. These provide new opportunities for solutions to automatically tag images so that efficient image management and retrieval can be achieved. In this paper an automatic image annotation approach is proposed.
Mousselly-Sergieh, Hatem +5 more
openaire +2 more sources
Semi-Automatic Semantic Annotation of Images
Seventh IEEE International Conference on Data Mining Workshops (ICDMW 2007), 2007Detailed, consistent semantic annotation of large collections of multimedia data is difficult and time-consuming. In domains such as eScience, digital curation and industrial monitoring, finegrained high-quality labeling of regions enables advanced semantic querying, analysis and aggregation and supports collaborative research.
Little S, Salvetti O, Perner P
openaire +3 more sources
Automatic Image Annotation Using GHSOM
2009 Fourth International Conference on Innovative Computing, Information and Control (ICICIC), 2009Due to the improvement of digital image technology and increasing amount of digital image data, the issue of automatic image annotation technology and applications becomes more and more important. In order to retrieval image efficiently, it is important to extract and represent the semantics of images.
Hsin-Chang Yang +2 more
openaire +1 more source
Towards automatic image region annotation
Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Short Papers on - NAACL '09, 2009Detailed image annotation necessary for reliable image retrieval involves not only annotating the image as a single artifact, but also annotating specific objects or regions within the image. Such detailed annotation is a costly endeavor and the available annotated image data are quite limited.
Emilia Apostolova, Dina Demner-Fushman
openaire +1 more source
Scene-based automatic image annotation
2014 IEEE International Conference on Image Processing (ICIP), 2014Image search and retrieval systems depend heavily on availability of descriptive textual annotations with images, to match them with textual queries of users. In most cases, such systems have to rely on users to provide tags or keywords with images. Users may add insufficient or noisy tags. A system to automatically generate descriptive tags for images
Tariq, Amara, Foroosh, Hassan
openaire +2 more sources
Automatic image annotation via category labels
Multimedia Tools and Applications, 2020Automatic image annotation aims to assign relevant keywords to images and has become a research focus. Although many techniques have been proposed to solve this problem in the last decade, giving promissing performance on standard datasets, we propose a novel automatic image annotation technique in this paper. Our method uses a label transfer mechanism
Weifeng Zhang +3 more
openaire +1 more source
Semantic Image Analysis for Automatic Image Annotation
2021The semantic image analysis is a process aimed to extract automatically the accurate semantic concept from image visual content. In this chapter, we shed light on a study conducted to boost the efficiency of semantic image analysis for improving automatic image annotation. We have explored, in this research study, different aspects of semantic analysis
Brahim Minaoui, Mustapha Oujaoura
openaire +1 more source
A survey on automatic image annotation
Applied Intelligence, 2020Automatic image annotation is a crucial area in computer vision, which plays a significant role in image retrieval, image description, and so on. Along with the internet technique developing, there are numerous images posted on the web, resulting in the fact that it is a challenge to annotate images only by humans.
Yilu Chen +3 more
openaire +1 more source
Semi-automatic Image Annotation
2013High quality ground truth data is essential for the development of image recognition systems. General purpose datasets are widely used in research, but they are not suitable as training sets for specialized real-world recognition tasks. The manual annotation of custom ground truth data sets is expensive, but machine learning techniques can be applied ...
Julia Moehrmann, Gunther Heidemann
openaire +1 more source