Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
Ontology-Based Photo Annotation
IEEE Intelligent Systems
Measuring Similarity between Ontologies
EKAW '02 Proceedings of the 13th International Conference on Knowledge Engineering and Knowledge Management. Ontologies and the Semantic Web
Transforming classifier scores into accurate multiclass probability estimates
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Image Parsing: Unifying Segmentation, Detection, and Recognition
International Journal of Computer Vision
Evaluating the impact of selection noise in community-based web search
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Real-time computerized annotation of pictures
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Flickr tag recommendation based on collective knowledge
Proceedings of the 17th international conference on World Wide Web
Toward Bridging the Annotation-Retrieval Gap in Image Search
IEEE MultiMedia
Proceedings of the 18th international conference on World wide web
Proceedings of the 18th international conference on World wide web
Using the forest to see the trees: exploiting context for visual object detection and localization
Communications of the ACM
Unlocking the semantics of multimedia presentations in the web with the multimedia metadata ontology
Proceedings of the 19th international conference on World wide web
Object Detection with Discriminatively Trained Part-Based Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
What, where and how many? combining object detectors and CRFs
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part IV
Multiscale conditional random fields for image labeling
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Towards semantic knowledge propagation from text corpus to web images
Proceedings of the 20th international conference on World wide web
Baby talk: Understanding and generating simple image descriptions
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
IEEE Transactions on Image Processing
Semantic image clustering using object relation network
CVM'12 Proceedings of the First international conference on Computational Visual Media
Automatic image description by using word-level features
Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service
Picture tags and world knowledge: learning tag relations from visual semantic sources
Proceedings of the 21st ACM international conference on Multimedia
A bag-of-semantics model for image clustering
The Visual Computer: International Journal of Computer Graphics
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This paper presents an automatic method for understanding and interpreting the semantics of unannotated web images. We observe that the relations between objects in an image carry important semantics about the image. To capture and describe such semantics, we propose Object Relation Network (ORN), a graph model representing the most probable meaning of the objects and their relations in an image. Guided and constrained by an ontology, ORN transfers the rich semantics in the ontology to image objects and the relations between them, while maintaining semantic consistency (e.g., a soccer player can kick a soccer ball, but cannot ride it). We present an automatic system which takes a raw image as input and creates an ORN based on image visual appearance and the guide ontology. We demonstrate various useful web applications enabled by ORNs, such as automatic image tagging, automatic image description generation, and image search by image.