Probabilistic latent semantic indexing
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
DENIM: finding a tighter fit between tools and practice for Web site design
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Shape Matching and Object Recognition Using Shape Contexts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
SketchIT: a Sketch Interpretation Tool for Conceptual Mechanical Design
SketchIT: a Sketch Interpretation Tool for Conceptual Mechanical Design
The Journal of Machine Learning Research
Recognition of Shapes by Editing Their Shock Graphs
IEEE Transactions on Pattern Analysis and Machine Intelligence
Efficient Graph-Based Image Segmentation
International Journal of Computer Vision
The author-topic model for authors and documents
UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
HMM-based efficient sketch recognition
Proceedings of the 10th international conference on Intelligent user interfaces
Efficient Shape Matching Using Shape Contexts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Learning Object Categories from Google"s Image Search
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Tahuti: a geometrical sketch recognition system for UML class diagrams
ACM SIGGRAPH 2006 Courses
Shape Classification Using the Inner-Distance
IEEE Transactions on Pattern Analysis and Machine Intelligence
SketchREAD: a multi-domain sketch recognition engine
ACM SIGGRAPH 2007 courses
PaleoSketch: accurate primitive sketch recognition and beautification
Proceedings of the 13th international conference on Intelligent user interfaces
LADDER, a sketching language for user interface developers
Computers and Graphics
A sketch recognition interface that recognizes hundreds of shapes in course-of-action diagrams
CHI '10 Extended Abstracts on Human Factors in Computing Systems
Equip tourists with knowledge mined from travelogues
Proceedings of the 19th international conference on World wide web
MindFinder: interactive sketch-based image search on millions of images
Proceedings of the international conference on Multimedia
Sketch2Cartoon: composing cartoon images by sketching
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Edgel index for large-scale sketch-based image search
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
MPEG-7 visual shape descriptors
IEEE Transactions on Circuits and Systems for Video Technology
CogSketch: open-domain sketch understanding for cognitive science research and for education
SBM'08 Proceedings of the Fifth Eurographics conference on Sketch-Based Interfaces and Modeling
Sketch2Tag: automatic hand-drawn sketch recognition
Proceedings of the 20th ACM international conference on Multimedia
Free hand-drawn sketch segmentation
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part I
Image search—from thousands to billions in 20 years
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) - Special Sections on the 20th Anniversary of ACM International Conference on Multimedia, Best Papers of ACM Multimedia 2012
Indexing billions of images for sketch-based retrieval
Proceedings of the 21st ACM international conference on Multimedia
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In this work, we study the problem of hand-drawn sketch recognition. Due to large intra-class variations presented in hand-drawn sketches, most of existing work was limited to a particular domain or limited pre-defined classes. Different from existing work, we target at developing a general sketch recognition system, to recognize any semantically meaningful object that a child can recognize. To increase the recognition coverage, a web-scale clipart image collection is leveraged as the knowledge base of the recognition system. To alleviate the problems of intra-class shape variation and inter-class shape ambiguity in this unconstrained situation, a query-adaptive shape topic model is proposed to mine object topics and shape topics related to the sketch, in which, multiple layers of information such as sketch, object, shape, image, and semantic labels are modeled in a generative process. Besides sketch recognition, the proposed topic model can also be used for related applications such as sketch tagging, image tagging, and sketch-based image search. Extensive experiments on different applications show the effectiveness of the proposed topic model and the recognition system.