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Content based video matching using spatiotemporal volumes

Arslan Basharat, Yun Zhai, Mubarak Shah
2008 Computer Vision and Image Understanding  
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]

Xuefeng Pan, Jintao Li, Shan Ba, Yongdong Zhang, Sheng Tang
2006 Lecture Notes in Computer Science  
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

J. P. Collomosse, P. M. Hall
2004 Procedings of the British Machine Vision Conference 2004  
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

E. Galmar, Th. Athanasiadis, B. Huet, Y. Avrithis
2008 2008 IEEE 10th Workshop on Multimedia Signal Processing  
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

Alireza Behrad, Mehdi Salehpour, Mahmoud Saiedi, Mahdi Nasrollah Barati
2013 International Journal of Advanced Robotic Systems  
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

Duan-Yu Chen, Yu-Ming Chiu
2013 Journal of Visual Communication and Image Representation  
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

Eric Galmar, Benoit Huet
2007 Proceedings of the 6th ACM international conference on Image and video retrieval - CIVR '07  
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]

Natasha Kholgade, Andreas Savakis
2009 Lecture Notes in Computer Science  
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]

Hao Wang, Yi Xu, Xiaokang Yang, Li Song, Wenjun Zhang
2009 Lecture Notes in Computer Science  
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]

Piyush Yadav, Dhaval Salwala, Edward Curry
2020 arXiv   pre-print
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

Junsong Yuan, Zicheng Liu
2010 IEEE Signal Processing Magazine  
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

Rocio A Lizarraga-Morales, Yimo Guo, Guoying Zhao, Matti Pietikäinen, Raul E Sanchez-Yanez
2014 EURASIP Journal on Image and Video Processing  
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

Alierza Behrad, Mehdi Salehpour, Meraj Ghaderian, Mahmoud Saiedi, Mahdi Nasrollah Barati
2012 EURASIP Journal on Image and Video Processing  
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

Kulbhushan AbasahebChoure, Anilkumar N. Holambe
2015 International Journal of Computer Applications  
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

Rongrong Ji, Hongxun Yao, Xiaoshuai Sun
2011 Pattern Recognition  
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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