Video Mining with Frequent Itemset Configurations
Lecture notes in computer sciencePublished 1 January 2006Open access
Till Quack, Vittorio Ferrari, Luc Van Gool
Citations71
Generate an AI Snapshot to get a quick, structured summary of this paper.
Study Snapshot
ObjectiveStudy objective
MethodsResearch methodology
PopulationPopulation studied
Sample sizeSample sizes
OutcomesStudy outcomes here
ResultsStudy results comes here
LimitationsResearch study limitations comes here
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
TL;DR
In this work it is shown how to express vector-quantized features and their spatial relations as itemsets and a fast motion segmentation method is introduced as an attention filter for the mining algorithm.
Abstract
International audience
Keywords
Computer Science
International Journal of Computer VisionDistinctive Image Features from Scale-Invariant Keypoints
55,266 Citations2004David Lowe
This paper presents a method for extracting distinctive invariant features from images that can be used to perform reliable matching between different views of an object or scene and can robustly identify objects among clutter and occlusion while achieving near real-time performance.
Mining association rules between sets of items in large databases
14,720 Citations1993Rakesh Agrawal, Tomasz Imieliński +1 more
An efficient algorithm is presented that generates all significant association rules between items in the database of customer transactions and incorporates buffer management and novel estimation and pruning techniques.
Choice Reviews OnlineFinding groups in data: an introduction to cluster analysis
10,614 Citations1991
Video Google: a text retrieval approach to object matching in videos
6,414 Citations2003Sivic, Zisserman
An approach to object and scene retrieval which searches for and localizes all the occurrences of a user outlined object in a video, represented by a set of viewpoint invariant region descriptors so that recognition can proceed successfully despite changes in viewpoint, illumination and partial occlusion.
Image and Vision ComputingRobust wide-baseline stereo from maximally stable extremal regions
3,664 Citations2004Jiřı́ Matas, Ondřej Chum +2 more
The high utility of MSERs, multiple measurement regions and the robust metric is demonstrated in wide-baseline experiments on image pairs from both indoor and outdoor scenes.
International Journal of Computer VisionScale & Affine Invariant Interest Point Detectors
3,395 Citations2004Krystian Mikolajczyk, Cordelia Schmid
A comparative evaluation of different detectors is presented and it is shown that the proposed approach for detecting interest points invariant to scale and affine transformations provides better results than existing methods.
Principles of Data Mining
2,398 Citations2001David J. Hand, Heikki Mannila +1 more
Statistical Pattern Recognition
1,754 Citations2001
Robust Wide Baseline Stereo from Maximally Stable Extremal Regions
1,345 Citations2002Jiřı́ Matas, Ondřej Chum +2 more
Selecting the right interestingness measure for association patterns
861 Citations2002Pang‐Ning Tan, Vipin Kumar +1 more
An overview of various measures proposed in the statistics, machine learning and data mining literature is presented and it is shown that each measure has different properties which make them useful for some application domains, but not for others.
The Knowledge Engineering Review<i>Principles of Data Mining</i> by David J. Hand, Heikki Mannila and Padhraic Smyth, MIT Press, 546 pp., £34.50, ISBN 0-262-08290-X
521 Citations2004Simon Parsons
Effective personalization based on association rule discovery from web usage data
432 Citations2001Bamshad Mobasher, Honghua Dai +2 more
This paper proposes effective and scalable techniques for Web personalization based on association rule discovery from usage data that can achieve better recommendation effectiveness, while maintaining a computational advantage over direct approaches to collaborative filtering such as the k-nearest-neighbor strategy.
Video data mining using con .gurations of viewpoint invariant regions
152 Citations2004Josef Šivic, Andrew Zisserman
A method for obtaining the principal objects, characters and scenes in a video by measuring the reoccurrence of spatial configurations of viewpoint invariant features, and that efficient methods from the text analysis literature are employed to reduce the matching complexity.
Effective personalization based on association rule discovery from web usage data
150 Citations2001Bamshad Mobasher, Honghua Dai +2 more
Lecture notes in computer scienceAssociative Classifiers for Medical Images
39 Citations2003Maria-Luiza Antonie, Osmar R. Zai͏̈ane +1 more
This paper presents two classification systems for medical images based on association rule mining, and illustrates how important the data cleaning phase is in building an accurate data mining architecture for image classification.
Machine Vision and ApplicationsVideo shot characterization
31 Citations2004Mihai Osian, Luc Van Gool
This paper presents a practical approach to detecting shot cuts and extracting keyframes from video sequences using a motion estimation algorithm of linear complexity.