The indexing and retrieval of document images: a survey
Computer Vision and Image Understanding - Special issue on document image understanding and retrieval
Geometric Hashing: An Overview
IEEE Computational Science & Engineering
The Detection of Duplicates in Document Image Databases
ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
Cartographic Indexing into a Database of Remotely Sensed Images
WACV '96 Proceedings of the 3rd IEEE Workshop on Applications of Computer Vision (WACV '96)
Progress in Camera-Based Document Image Analysis
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
Document image analysis for digital libraries
Proceedings of the 2006 international workshop on Research issues in digital libraries
HOTPAPER: multimedia interaction with paper using mobile phones
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Note: Mosaicing of camera-captured document images
Computer Vision and Image Understanding
Embedded media markers: marks on paper that signify associated media
Proceedings of the 15th international conference on Intelligent user interfaces
Mobile image recognition: architectures and tradeoffs
Proceedings of the Eleventh Workshop on Mobile Computing Systems & Applications
Efficient search in document image collections
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part I
DAS '10 Proceedings of the 9th IAPR International Workshop on Document Analysis Systems
PaperComp 2010: first international workshop on paper computing
Proceedings of the 12th ACM international conference adjunct papers on Ubiquitous computing - Adjunct
International Conference on Multimodal Interfaces and the Workshop on Machine Learning for Multimodal Interaction
onNote: a musical interface using markerless physical scores
ACM SIGGRAPH 2011 Posters
onNote: playing printed music scores as a musical instrument
Proceedings of the 24th annual ACM symposium on User interface software and technology
stAR: visualizing constellations with star retrieval
SIGGRAPH Asia 2011 Posters
Evaluating and understanding the usability of a pen-based command system for interactive paper
ACM Transactions on Computer-Human Interaction (TOCHI)
Hybrid document matching method for page identification of digilog books
Transactions on Edutainment VIII
A new marker design for a robust marker tracking system against occlusions
Computer Animation and Virtual Worlds
Towards inferring language expertise using eye tracking
CHI '13 Extended Abstracts on Human Factors in Computing Systems
Annotate me: supporting active reading using real-time document image retrieval on mobile devices
Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication
I know what you are reading: recognition of document types using mobile eye tracking
Proceedings of the 2013 International Symposium on Wearable Computers
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Camera-based document image retrieval is a task of searching document images from the database based on query images captured using digital cameras. For this task, it is required to solve the problem of “perspective distortion” of images,as well as to establish a way of matching document images efficiently. To solve these problems we have proposed a method called Locally Likely Arrangement Hashing (LLAH) which is characterized by both the use of a perspective invariant to cope with the distortion and the efficiency: LLAH only requires O(N) time where N is the number of feature points that describe the query image. In this paper, we introduce into LLAH an affine invariant instead of the perspective invariant so as to improve its adjustability. Experimental results show that the use of the affine invariant enables us to improve either the accuracy from 96.2% to 97.8%, or the retrieval time from 112 msec./query to 75 msec./query by selecting parameters of processing.