A Theory of Multiscale, Curvature-Based Shape Representation for Planar Curves
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic partitioning of full-motion video
Multimedia Systems
Fast multiresolution image querying
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
Visual Image Retrieval by Elastic Matching of User Sketches
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
Content-Based Image Retrieval over the Web Using Query by Sketch and Relevance Feedback
VISUAL '99 Proceedings of the Third International Conference on Visual Information and Information Systems
Affine-Invariant Sketch-Based Retrieval of Images
CGI '01 Computer Graphics International 2001
Sketch-Based Images Database Retrieval
MIS '98 Proceedings of the 4th International Workshop on Advances in Multimedia Information Systems
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 4 - Volume 4
Video Google: A Text Retrieval Approach to Object Matching in Videos
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
A Coarse-to-Fine Strategy for Vehicle Motion Trajectory Clustering
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 01
On-line trajectory clustering for anomalous events detection
Pattern Recognition Letters
SIFT Features Tracking for Video Stabilization
ICIAP '07 Proceedings of the 14th International Conference on Image Analysis and Processing
Robust Higher Order Potentials for Enforcing Label Consistency
International Journal of Computer Vision
MindFinder: image search by interactive sketching and tagging
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
Motion-sketch Based Video Retrieval Using a Trellis Levenshtein Distance
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
Sketch-Based Image Retrieval: Benchmark and Bag-of-Features Descriptors
IEEE Transactions on Visualization and Computer Graphics
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
Video clip matching using MPEG-7 descriptors and edit distance
CIVR'06 Proceedings of the 5th international conference on Image and Video Retrieval
Real-Time Motion Trajectory-Based Indexing and Retrieval of Video Sequences
IEEE Transactions on Multimedia
Motion-based video retrieval by trajectory matching
IEEE Transactions on Circuits and Systems for Video Technology
Counting Pedestrians in Video Sequences Using Trajectory Clustering
IEEE Transactions on Circuits and Systems for Video Technology
Multifeature Object Trajectory Clustering for Video Analysis
IEEE Transactions on Circuits and Systems for Video Technology
Event Detection Using Trajectory Clustering and 4-D Histograms
IEEE Transactions on Circuits and Systems for Video Technology
Markov random fields for sketch based video retrieval
Proceedings of the 3rd ACM conference on International conference on multimedia retrieval
A performance evaluation of gradient field HOG descriptor for sketch based image retrieval
Computer Vision and Image Understanding
| Hi-index | 0.00 |
We present a novel video retrieval system that accepts annotated free-hand sketches as queries. Existing sketch based video retrieval (SBVR) systems enable the appearance and movements of objects to be searched naturally through pictorial representations. Whilst visually expressive, such systems present an imprecise vehicle for conveying the semantics (e.g. object types) within a scene. Our contribution is to fuse the semantic richness of text with the expressivity of sketch, to create a hybrid ‘semantic sketch' based video retrieval system. Trajectory extraction and clustering are applied to pre-process each clip into a video object representation that we augment with object classification and colour information. The result is a system capable of searching videos based on the desired colour, motion path, and semantic labels of the objects present. We evaluate the performance of our system over the TSF dataset of broadcast sports footage.