A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Efficiently Computable Metric for Comparing Polygonal Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence
International Journal of Computer Vision
Object recognition based on moment (or algebraic) invariants
Geometric invariance in computer vision
VisualSEEk: a fully automated content-based image query system
MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
VideoQ: an automated content based video search system using visual cues
MULTIMEDIA '97 Proceedings of the fifth ACM international conference on Multimedia
Comparing Images Using the Hausdorff Distance
IEEE Transactions on Pattern Analysis and Machine Intelligence
Efficient Color Histogram Indexing for Quadratic Form Distance Functions
IEEE Transactions on Pattern Analysis and Machine Intelligence
BilVideo: A Video Database Management System
IEEE MultiMedia
A rule-based video database system architecture
Information Sciences—Informatics and Computer Science: An International Journal
Image Indexing Using Color Correlograms
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
BilVideo: Design and Implementation of a Video Database Management System
Multimedia Tools and Applications
Fourier Descriptors for Plane Closed Curves
IEEE Transactions on Computers
Query-by-example: a data base language
IBM Systems Journal
BilVideo: Design and Implementation of a Video Database Management System
Multimedia Tools and Applications
Visual pattern discovery using web images
MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
Retrieval of objects in video by similarity based on graph matching
Pattern Recognition Letters
Automatic detection of salient objects and spatial relations in videos for a video database system
Image and Vision Computing
A Template-Based Shape Representation Technique
ICIAR '08 Proceedings of the 5th international conference on Image Analysis and Recognition
Trademark recognition using the PDH shape descriptor
Annales UMCS, Informatica
Robust image retrieval based on color histogram of local feature regions
Multimedia Tools and Applications
Histogram similarity measure using variable bin size distance
Computer Vision and Image Understanding
Engineering Applications of Artificial Intelligence
Silhouette-Based method for object classification and human action recognition in video
ECCV'06 Proceedings of the 2006 international conference on Computer Vision in Human-Computer Interaction
Selective color image retrieval based on the gaussian mixture model
ACIVS'12 Proceedings of the 14th international conference on Advanced Concepts for Intelligent Vision Systems
Robust color image retrieval using visual interest point feature of significant bit-planes
Digital Signal Processing
A new content-based image retrieval technique using color and texture information
Computers and Electrical Engineering
Engineering Applications of Artificial Intelligence
Information Sciences: an International Journal
Content-based image retrieval by integrating color and texture features
Multimedia Tools and Applications
Content-based image retrieval using OWA fuzzy linking histogram
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - Computational intelligence models for image processing and information reasoning
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Considering the fact that querying by low-level object features is essential in image and video data, an efficient approach for querying and retrieval by shape and color is proposed. The approach employs three specialized histograms, (i.e. distance, angle, and color histograms) to store feature-based information that is extracted from objects. The objects can be extracted from images or video frames. The proposed histogram-based approach is used as a component in the query-by-feature subsystem of a video database management system. The color and shape information is handled together to enrich the querying capabilities for content-based retrieval. The evaluation of the retrieval effectiveness and the robustness of the proposed approach is presented via performance experiments.