VisualSEEk: a fully automated content-based image query system
MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
A distance measure for video sequences
Computer Vision and Image Understanding - Special issue on content-based access for image and video libraries
ACM Computing Surveys (CSUR)
IR evaluation methods for retrieving highly relevant documents
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Object Recognition as Machine Translation: Learning a Lexicon for a Fixed Image Vocabulary
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
Towards a Computational Model for Object Recognition in IT Cortex
BMVC '00 Proceedings of the First IEEE International Workshop on Biologically Motivated Computer Vision
Event Detection and Summarization in Sports Video
CBAIVL '01 Proceedings of the IEEE Workshop on Content-based Access of Image and Video Libraries (CBAIVL'01)
Automatic image annotation and retrieval using cross-media relevance models
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Fast video matching with signature alignment
MIR '03 Proceedings of the 5th ACM SIGMM international workshop on Multimedia information retrieval
Fast and robust short video clip search using an index structure
Proceedings of the 6th ACM SIGMM international workshop on Multimedia information retrieval
Effective automatic image annotation via a coherent language model and active learning
Proceedings of the 12th annual ACM international conference on Multimedia
Maximum entropy model-based baseball highlight detection and classification
Computer Vision and Image Understanding - Special issue on event detection in video
Towards effective indexing for very large video sequence database
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
International Journal of Computer Vision
The Pyramid Match Kernel: Discriminative Classification with Sets of Image Features
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Automatic video annotation using ontologies extended with visual information
Proceedings of the 13th annual ACM international conference on Multimedia
Image annotations by combining multiple evidence & wordNet
Proceedings of the 13th annual ACM international conference on Multimedia
A unified framework for semantic shot representation of sports video
Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval
One-Shot Learning of Object Categories
IEEE Transactions on Pattern Analysis and Machine Intelligence
Content-based multimedia information retrieval: State of the art and challenges
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Automatic video annotation by semi-supervised learning with kernel density estimation
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
A robust scene recognition system for baseball broadcast using data-driven approach
Proceedings of the 6th ACM international conference on Image and video retrieval
Personalized retrieval of sports video
Proceedings of the international workshop on Workshop on multimedia information retrieval
Statistical summarization of content features for fast near-duplicate video detection
Proceedings of the 15th international conference on Multimedia
Sketch retrieval and relevance feedback with biased SVM classification
Pattern Recognition Letters
Automatic image tagging as a random walk with priors on the canonical correlation subspace
MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval
Action video retrieval based on atomic action vocabulary
MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval
Spatio-temporal pyramid matching for sports videos
MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval
Efficiently searching for similar images
Communications of the ACM
Multiple Bernoulli relevance models for image and video annotation
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
An evaluation of bags-of-words and spatio-temporal shapes for action recognition
WACV '11 Proceedings of the 2011 IEEE Workshop on Applications of Computer Vision (WACV)
Near Duplicate Identification With Spatially Aligned Pyramid Matching
IEEE Transactions on Circuits and Systems for Video Technology
Detecting activities of daily living in first-person camera views
CVPR '12 Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
| Hi-index | 0.00 |
An efficient video retrieval system is essential to search relevant video contents from a large set of video clips, which typically contain several heterogeneous video clips to match with. In this paper, we introduce a content-based video matching system that finds the most relevant video segments from video database for a given query video clip. Finding relevant video clips is not a trivial task, because objects in a video clip can constantly move over time. To perform this task efficiently, we propose a novel video matching called Spatio-Temporal Pyramid Matching (STPM). Considering features of objects in 2D space and time, STPM recursively divides a video clip into a 3D spatio-temporal pyramidal space and compares the features in different resolutions. In order to improve the retrieval performance, we consider both static and dynamic features of objects. We also provide a sufficient condition in which the matching can get the additional benefit from temporal information. The experimental results show that our STPM performs better than the other video matching methods.