Content-based image retrieval: approaches and trends of the new age
Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval
Image retrieval: Ideas, influences, and trends of the new age
ACM Computing Surveys (CSUR)
A descriptor for large scale image retrieval based on sketched feature lines
Proceedings of the 6th Eurographics Symposium on Sketch-Based Interfaces and Modeling
Image retrieval at memory's edge: known image search based on user-drawn sketches
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
An improved histogram of edge local orientations for sketch-based image retrieval
Proceedings of the 32nd DAGM conference on Pattern recognition
ShadowDraw: real-time user guidance for freehand drawing
ACM SIGGRAPH 2011 papers
Sketch-Based shape retrieval using length and curvature of 2d digital contours
IWCIA'04 Proceedings of the 10th international conference on Combinatorial Image Analysis
ACM Transactions on Graphics (TOG) - SIGGRAPH 2012 Conference Proceedings
A performance evaluation of gradient field HOG descriptor for sketch based image retrieval
Computer Vision and Image Understanding
The multi angular descriptor (MAD): a binary and gray images descriptor for shape recognition
Proceedings of the 2nd International Workshop on Historical Document Imaging and Processing
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This work presents a novel method for image similarity measure, where a hand-drawn rough black and white sketch is compared with an existing data base of full color images (art works and photographs). The proposed system creates ambient intelligence in terms of the evaluation of nonprecise, easy to input sketched information. The system can then provide the user with options of either retrieving similar images in the database or ranking the quality of the sketch against a given standard, i.e., the original image model. Alternatively, the inherent pattern-matching capability of the system can be utilized to allow detection of distortion in any given real time-image sequences in vision-driven ambient intelligence applications. The proposed method can cope with images containing several complex objects in an inhomogeneous background. Two abstract images are obtained using strong edges of the model image and the morphologically thinned outline of the sketched image. The angular-spatial distribution of pixels in the abstract images is then employed to extract new compact and effective features using the Fourier transform. The extracted features are rotation and scale invariant and robust against translation. Experimental results from seven different approaches confirm the efficacy of the proposed method in both the retrieval performance and the time required for feature extraction and search.