Shot retrieval based on fuzzy evolutionary aiNet and hybrid features

Authors:
Xian-Hui Li;Yong-Zhao Zhan;Jia Ke;Hong-Wei Zheng
Affiliations:
China Realtime Database Co. LTD., Sgepri, Nanjing 210003, China and School of Computer Science and Telecommunication Engineering, Jiangsu University, Zhenjiang, 212013 Jiangsu, China;School of Computer Science and Telecommunication Engineering, Jiangsu University, Zhenjiang, 212013 Jiangsu, China;School of Computer Science and Telecommunication Engineering, Jiangsu University, Zhenjiang, 212013 Jiangsu, China;Department of Computer and Information Science, University of Konstanz, Germany
Venue:
Computers in Human Behavior
Year:
2011

Citing 13
Cited 0

A user attention model for video summarization

Proceedings of the tenth ACM international conference on Multimedia
An Evolutionary Immune Network for Data Clustering

SBRN '00 Proceedings of the VI Brazilian Symposium on Neural Networks (SBRN'00)
On Fuzzy Clustering and Content Based Access to Networked Video Databases

RIDE '98 Proceedings of the Workshop on Research Issues in Database Engineering
Efficient Key-Frame Extraction and Video Analysis

ITCC '02 Proceedings of the International Conference on Information Technology: Coding and Computing
Joint Key-Frame Extraction and Object-Based Video Segmentation

WACV-MOTION '05 Proceedings of the IEEE Workshop on Motion and Video Computing (WACV/MOTION'05) - Volume 2 - Volume 02
From Sample Similarity to Ensemble Similarity: Probabilistic Distance Measures in Reproducing Kernel Hilbert Space

IEEE Transactions on Pattern Analysis and Machine Intelligence
Key frame selection by motion analysis

ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 02
An Approach to Video Key-frame Extraction Based on Rough Set

MUE '07 Proceedings of the 2007 International Conference on Multimedia and Ubiquitous Engineering
Shot-based video retrieval with optical flow tensor and HMMs

Pattern Recognition Letters
Adding Semantics to Detectors for Video Retrieval

IEEE Transactions on Multimedia
Batch Nearest Neighbor Search for Video Retrieval

IEEE Transactions on Multimedia
An integrated scheme for automated video abstraction based on unsupervised cluster-validity analysis

IEEE Transactions on Circuits and Systems for Video Technology
An efficient algorithm for video sequence matching using the modified Hausdorff distance and the directed divergence

IEEE Transactions on Circuits and Systems for Video Technology

Quantified Score

Hi-index	0.00

Visualization

Abstract

As the multimedia data increasing exponentially, how to get the video data we need efficiently become so important and urgent. In this paper, a novel method for shot retrieval is proposed, which is based on fuzzy evolutionary aiNet and hybrid features. To begin with, the fuzzy evolutionary aiNet algorithm proposed in this paper is utilized to extract key-frames in a video sequence. Meanwhile, to represent a key-frame, hybrid features of color feature, texture feature and spatial structure feature are extracted. Then, the features of key-frames in the same shot are taken as an ensemble and mapped to high dimension space by non-linear mapping, and the result obeys Gaussian distribution. Finally, shot similarity is measured by the probabilistic distance between distributions of the key-frame feature ensembles for two shots, and similar shots are retrieved effectively by using this method. Experimental results show the validity of this proposed method.