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Content based video matching using spatiotemporal volumes
2008
Computer Vision and Image Understanding
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This paper presents a novel framework for matching video sequences using the spatiotemporal segmentation of videos. ...
Maximum matching of this graph produces volume correspondences between the videos, and these volume matching scores are used to compute the final video matching score. ...
Video matching for retrieval We have applied the video matching framework for content based video retrieval. The matching score is used to rank the videos retrieved from the dataset. ...
doi:10.1016/j.cviu.2007.09.016
fatcat:tptjlnsvk5fcrbjdl5wdxbg2v4
Visual Features Extraction Through Spatiotemporal Slice Analysis
[chapter]
2006
Lecture Notes in Computer Science
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In this paper we propose a novel feature extracting method based on spatiotemporal slice analyzing. To date, video features are focused on the character of every single video frame. ...
The experiment results show that the proposed feature is effective and robust for variant video content and format. ...
Introduction In the past decade, the content-based video processing has found applications in many fields such as video indexing, video retrieval, video annotation and video search. ...
doi:10.1007/978-3-540-69429-8_31
fatcat:koy2r2nx2zhlvlxyq7rdkruje4
A Mid-Level Description of Video, with Application to Non-photorealistic Animation
2004
Procedings of the British Machine Vision Conference 2004
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The contribution of this paper is a novel spatiotemporal description of real video sequences. ...
We explain how to automatically process video into our description, and use it to solve a long-standing problem in Computer Graphics; that of automatically producing non-photorealistic (NPR) animations ...
We consider video as a spatiotemporal volume, with time as the third dimension. ...
doi:10.5244/c.18.3
dblp:conf/bmvc/CollomosseH04
fatcat:pkaokhrjpve6zljcjyzbnf2x5m
Spatiotemporal semantic video segmentation
2008
2008 IEEE 10th Workshop on Multimedia Signal Processing
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Spatiotemporal regions (volumes) are extracted and labeled individually within each block. ...
Then, we iteratively merge consecutive blocks by a matching procedure which considers both semantic and visual properties. Results on real video sequences show the potential of our approach. ...
INTRODUCTION The development of video databases has impelled research for structuring multimedia content. ...
doi:10.1109/mmsp.2008.4665143
dblp:conf/mmsp/GalmarAHA08
fatcat:yx53wrwp7bas7pw3ichhshvztm
Obscene Video Recognition Using Fuzzy SVM and New Sets of Features
2013
International Journal of Advanced Robotic Systems
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In the second step, three different features including 1-structural features based on single frame information, 2-features based on spatiotemporal volume and 3-motion-based features, are extracted for ...
For the final step, we use fuzzy or a Weighted Support Vector Machine (WSVM) classifier to identify video episodes. ...
We utilize different features for obscene video content recognition, including spatial, spatiotemporal and motion-based features. ...
doi:10.5772/55517
fatcat:taxl4diq2bfvpm2aq3f2mwp3gq
Visual attention guided video copy detection based on feature points matching with geometric-constraint measurement
2013
Journal of Visual Communication and Image Representation
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In this paper, to efficiently detect video copies, focus of interests in videos is first localized based on 3D spatiotemporal visual attention modeling. ...
Consequently, video matching is transformed to frame-based time-series linear search problem. ...
For content-based video matching, the property of inexact matching of video content makes the similarity computing based on feature point matching even more challenging. ...
doi:10.1016/j.jvcir.2013.04.005
fatcat:mnomemgt2zh6rl2sxxwhqtkcye
Analysis of vector space model and spatiotemporal segmentation for video indexing and retrieval
2007
Proceedings of the 6th ACM international conference on Image and video retrieval - CIVR '07
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Region-based video indexing systems have opened up new possibilities for the description of visual content. ...
In this paper, we propose to enhance these systems with the use of spatiotemporal regions. ...
Most methods first segment every image and then extend them to the spatiotemporal domain through the use of matching techniques [8, 6] or motion estimation [3] . ...
doi:10.1145/1282280.1282344
dblp:conf/civr/GalmarH07
fatcat:eon5iq3wwnb3neaslpgp3rw3be
Human Activity Recognition Using the 4D Spatiotemporal Shape Context Descriptor
[chapter]
2009
Lecture Notes in Computer Science
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In this paper, a four-dimensional spatiotemporal shape context descriptor is introduced and used for human activity recognition in video. ...
Activity recognition in a video sequence is based on majority classification of the video frame results. ...
The spatiotemporal shape context can be used to represent shape and motion in other areas of object or category recognition, such as content based video retrieval, expression or face recognition in video ...
doi:10.1007/978-3-642-10520-3_33
fatcat:ja7jamzp65cp5ozxjszjbmxc3u
Spatiotemporal Phase Congruency Based Invariant Features for Human Behavior Classification
[chapter]
2009
Lecture Notes in Computer Science
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In this paper, we develop a novel detection model of spatiotemporal invariant feature by generalizing the notion of image phase congruency to video volume phase congruency. ...
In applications of behavior recognition, the use of spatiotemporal invariant feature points can improve the robustness to noise, illumination and geometric distortions. ...
An invariant feature descriptor is developed using spatiotemporal phase congruency map rather than the raw data of video volume. ...
doi:10.1007/978-3-642-10467-1_8
fatcat:pzt6aw575fafxbsps5qsftb2we
Knowledge Graph Driven Approach to Represent Video Streams for Spatiotemporal Event Pattern Matching in Complex Event Processing
[article]
2020
arXiv
pre-print
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It creates a semantic knowledge representation of video data derived from the detection of high-level semantic concepts from the video using an ensemble of deep learning models. ...
This work introduces a graph-based structure for continuous evolving video streams, which enables the CEP system to query complex video event patterns. ...
representation for state-based CEP matching. ...
arXiv:2007.06292v1
fatcat:kmqdo22wi5axne4vysqvo4ctua
TechWare: Video-Based Human Action Detection Resources [Best of the Web
2010
IEEE Signal Processing Magazine
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Actions can be characterized by spatiotemporal patterns. Similar to the object detection, action detection finds the reoccurrences of such spatiotemporal patterns through pattern matching. ...
I n this issue, "Best of the Web" focuses on video-based human action detection, which has recently been demonstrated to be very useful in a wide range of applications including video surveillance, telemonitoring ...
It is later extended to search actions in video volumes. ...
doi:10.1109/msp.2010.937496
fatcat:56rypucynneohale67doue3avy
Local spatiotemporal features for dynamic texture synthesis
2014
EURASIP Journal on Image and Video Processing
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In our synthesis approach, we propose to use local spatiotemporal cues extracted with the local binary pattern from three orthogonal plane (LBP-TOP) operator, which allows us to include in the video characterization ...
In this paper, we study the use of local spatiotemporal patterns in a non-parametric dynamic texture synthesis method. ...
In our approach, we achieve this by including local structural information for a better video volume matching. ...
doi:10.1186/1687-5281-2014-17
fatcat:jijc2h3d6zeuxjyyiyu7mp4ft4
Content-based obscene video recognition by combining 3D spatiotemporal and motion-based features
2012
EURASIP Journal on Image and Video Processing
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We present three novel sets of features for the classification of video episodes, including (1) features based on the information of single video frames, (2) features based on 3D spatiotemporal volume ...
In this article, a new method for the recognition of obscene video contents is presented. ...
In this article, we propose a new approach for the content-based video filtering, which combines different properties of video contents including spatial, spatiotemporal, and motion-based features for ...
doi:10.1186/1687-5281-2012-23
fatcat:4z4nuiqwknhrldjbvxawd5hf7y
Content Identification using Video Fingerprint based on Video Classification
2015
International Journal of Computer Applications
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In this paper, for video content identificationonly fine signature will be used and with the spread of digital video recorders, storing large volumes of video has become recorders, storing large volumes ...
Video content-based linking: Video content in the web pagecan be linked to some other video. ...
doi:10.5120/19156-0598
fatcat:4lt57jmnsfeypn34w5qcjqkege
Actor-independent action search using spatiotemporal vocabulary with appearance hashing
2011
Pattern Recognition
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Subsequently, a spatiotemporal vocabulary is built based on 3D-SIFT features extracted from these human-focused action regions. ...
In the online ranking, we employ dynamic time warping distance to handle the action duration variances, as well as partial action matching. ...
Introduction With the on-the-fly growth of Web videos such as YouTube, nowadays there is an emergent demand for content-based search technique for video accessing and browsing. ...
doi:10.1016/j.patcog.2010.08.022
fatcat:stbuytvdy5emze4uumkarlcdxa
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