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Multiple cue indexing and summarization of surveillance video

Ruben Heras Evangelio, Ivo Keller, Thomas Sikora
2013 2013 10th IEEE International Conference on Advanced Video and Signal Based Surveillance  
In this paper we propose a system for the summarization of safety and security surveillance video.  ...  By combining the information provided by multiple analysis cues, we improve the quality of the information extracted out of the analyzed video sequences with respect to the state-of-the-art approaches,  ...  The system is able to combine multiple video analysis cues, therefore accounting with a richer amount of information, which is used to generate indexes and video summaries that better align with the content  ... 
doi:10.1109/avss.2013.6636668 dblp:conf/avss/EvangelioKS13 fatcat:j6ydlslaczh3bpkpf5ryfljdha

Experiential Sampling for video surveillance

Jun Wang, Mohan S Kankanhalli, Weiqi Yan, Ramesh Jain
2003 First ACM SIGMM international workshop on Video surveillance - IWVS '03  
Moreover, we take the situation of multiple surveillance cameras into account and utilize the experiential sampling technique to decide which surveillance video stream to be displayed on the main monitor  ...  Due to the decreasing costs and increasing miniaturization of video cameras, the use of digital video based surveillance as a tool for real-time monitoring is rapidly increasing.  ...  We present results for two applications -face detection in surveillance videos and for multiple cameras video surveillance. Our contributions in this paper can be summarized as follows.  ... 
doi:10.1145/982452.982462 fatcat:7hvwz2vjt5gvfkrtcydyfldbmq

Real-Time Action Detection in Video Surveillance using Sub-Action Descriptor with Multi-CNN [article]

Cheng-Bin Jin, Shengzhe Li, Hakil Kim
2017 arXiv   pre-print
The proposed action detection model simultaneously localizes and recognizes the actions of multiple individuals in video surveillance using appearance-based temporal features with multi-CNN.  ...  The proposed approach achieved a mean average precision (mAP) of 76.6% at the frame-based and 83.5% at the video-based measurement on the new large-scale ICVL video surveillance dataset that the authors  ...  pedestrian tracking using multiple fixed cameras).  ... 
arXiv:1710.03383v1 fatcat:jdvcynji6bh2tevlmoyb2qbz7e

VAST MM

Alexander Haubold, John R. Kender
2007 Proceedings of the 6th ACM international conference on Image and video retrieval - CIVR '07  
In the domain of candidly captured student presentation videos, we examine and evaluate approaches for multi-modal analysis and indexing of audio and video.  ...  Results suggest that our video indexing and retrieval approach is effective, and that our continuous improvements are reflecting in an increase in precision and recall of user study tasks.  ...  Structuring and indexing of content is performed using visual cues [1, 3] and textual cues within [4] , and across [5] lectures.  ... 
doi:10.1145/1282280.1282286 dblp:conf/civr/HauboldK07 fatcat:up5iwvatpjay3bdoqx6gimte44

Real-Time Action Recognition Using Multi-level Action Descriptor and DNN [chapter]

Cheng-Bin Jin, Trung Dung Do, Mingjie Liu, Hakil Kim
2018 Intelligent Video Surveillance [Working Title]  
This work presents a novel approach to the problem of real-time human action recognition in intelligent video surveillance.  ...  The proposed action recognition method is able to localize and recognize simultaneously the actions of multiple individuals using appearance-based temporal features with multiple convolutional neural networks  ...  Acknowledgements This work was supported by the Industrial Technology Innovation Program, "10052982, Development of multiangle front camera system for intersection AEB," funded by the Ministry of Trade  ... 
doi:10.5772/intechopen.76086 fatcat:5fvzwuauhjb5ta6rhxua63anzm

Event-based large scale surveillance video summarization

Xinhui Song, Li Sun, Jie Lei, Dapeng Tao, Guanhong Yuan, Mingli Song
2016 Neurocomputing  
semantic summarization of large scale surveillance video.  ...  In this paper, we propose a novel approach of large scale surveillance video summarization on the basis of event detection.  ...  ∀i, k 1 < k 2 , w i,k 1 < w i,k 2 where w i,k indicates the appeared frame index of e i,k , and T is the frame number of the summarized video.  ... 
doi:10.1016/j.neucom.2015.07.131 fatcat:jsda6b76rretnjoi7qalabdhty

Multicue Optimized Object Detection for Automatic Video Event Extraction

B. S. Daga, A. A. Ghatol
2016 Indian Journal of Science and Technology  
bringing together the benefits of spatio-temporal cue method with a semantic model system.  ...  The multicue object detector provides the inter object spatio-temporal cue information for event detection and aids to the semantic model.  ...  The benefits of multicue optimization object identifier bring in the additional aid of spatio-temporal cue based calculation and the similar cues for multiple identified objects in the video can be used  ... 
doi:10.17485/ijst/2015/v8i1/100290 fatcat:6ffuowcttndnjoi7hb7vp3cxgm

A study on video data mining

V. Vijayakumar, R. Nedunchezhian
2012 International Journal of Multimedia Information Retrieval  
It is widely used in many major potential applications like security and surveillance, entertainment, medicine, education programs and sports.  ...  The objective of video data mining is to discover and describe interesting patterns from the huge amount of video data as it is one of the core problem areas of the data-mining research community.  ...  Multiple cues from different modalities including audio and visual features are fully exploited and used to capture the semantic structure of the video bridging the gap between the high level semantic  ... 
doi:10.1007/s13735-012-0016-2 fatcat:xuuf3w3b2rfcxlyevzndz6v62e

An annotated video database for abandoned-object detection in a cluttered environment

Allan F. da Silva, Lucas A. Thomaz, Gustavo Carvalho, Mateus T. Nakahata, Eric Jardim
2014 2014 International Telecommunications Symposium (ITS)  
A video database is described for testing video surveillance systems for the automatic detection of abandoned objects in a cluttered environment.  ...  an approximate total of 8.2 hours of video.  ...  ACKNOWLEDGMENTS This work was developed with the support of Statoil Brazil, Petrobras, ANP, FAPERJ, and CAPES with project Pró-Defesa under process number 23038009094/2013-83.  ... 
doi:10.1109/its.2014.6947966 fatcat:7cspdhkt7zh2vjay7qm3gedj4y

Detection driven adaptive multi-cue integration for multiple human tracking

Ming Yang, Fengjun Lv, Wei Xu, Yihong Gong
2009 2009 IEEE 12th International Conference on Computer Vision  
In video surveillance scenarios, appearances of both human and their nearby scenes may experience large variations due to scale and view angle changes, partial occlusions, or interactions of a crowd.  ...  These challenges may weaken the effectiveness of a dedicated target observation model even based on multiple cues, which demands for an agile framework to adjust target observation models dynamically to  ...  Introduction Tracking multiple human is critical to many applications, ranging from video-based surveillance to human behavior analysis.  ... 
doi:10.1109/iccv.2009.5459252 dblp:conf/iccv/YangLXG09 fatcat:ndk7i2e6i5gihfclilj5atbkzq

Discovery of Shared Semantic Spaces for Multiscene Video Query and Summarization

Xun Xu, Timothy M. Hospedales, Shaogang Gong
2017 IEEE transactions on circuits and systems for video technology (Print)  
with reduced supervised labelling requirements, and video summarization.  ...  The growing rate of public space CCTV installations has generated a need for automated methods for exploiting video surveillance data including scene understanding, query, behaviour annotation and summarization  ...  Citation information: DOI 10.1109/TCSVT.2016.2532719, IEEE Transactions on Circuits and Systems for Video Technology  ... 
doi:10.1109/tcsvt.2016.2532719 fatcat:qkzxhvsbzjd5jbt2uoxgrwv2rm

Discovering important people and objects for egocentric video summarization

Yong Jae Lee, J. Ghosh, K. Grauman
2012 2012 IEEE Conference on Computer Vision and Pattern Recognition  
To accomplish this, we develop region cues indicative of high-level saliency in egocentric video-such as the nearness to hands, gaze, and frequency of occurrence-and learn a regressor to predict the relative  ...  We present a video summarization approach for egocentric or "wearable" camera data. Given hours of video, the proposed method produces a compact storyboard summary of the camera wearer's day.  ...  Acknowledgements Many thanks to Yaewon, Adriana, Nona, Lucy, and Jared for collecting data. This research was sponsored in part by ONR YIP and DARPA CSSG.  ... 
doi:10.1109/cvpr.2012.6247820 dblp:conf/cvpr/LeeGG12 fatcat:p44k5wgxtnamfktrpgpklch7wu

Real-time constant memory visual summaries for surveillance

Nathan Jacobs, Robert Pless
2006 Proceedings of the 4th ACM international workshop on Video surveillance and sensor networks - VSSN '06  
We present two applications that highlight the potential of video processing; first a visualization tool that summarizes recent video behavior for a human operator in a single image, and second a pre-processing  ...  In surveillance applications there may be multiple time scales at which it is important to monitor a scene.  ...  We illustrate that this decomposition offers new tools for developing visualization and providing context cues for the analysis of surveillance video.  ... 
doi:10.1145/1178782.1178805 fatcat:dmrz57wv5jezzjvjd7wtgmdjme

Blind summarization: content-adaptive video summarization using time-series analysis

Ajay Divakaran, Regunathan Radhakrishnan, Kadir A. Peker, Edward Y. Chang, Alan Hanjalic, Nicu Sebe
2006 Multimedia Content Analysis, Management, and Retrieval 2006  
We achieve the best results with unscripted content such as sports and surveillance video in terms of quality of summaries and minimizing content-specific processing.  ...  Severe complexity constraints on consumer electronic devices motivate us to investigate general-purpose video summarization techniques that are able to apply a common hardware setup to multiple content  ...  ACKNOWLEDGEMENTS The authors would like to thank Dr.Ziyou Xiong for his close collaborations and discussions on sports highlights extraction.  ... 
doi:10.1117/12.648419 fatcat:koggmtj6wrd5fjekp47gqkovum

Exploring object segmentation methods in visual surveillance for human activity recognition

Sandipkumar M Vaniya, B. Bharathi
2016 2016 International Conference on Global Trends in Signal Processing, Information Computing and Communication (ICGTSPICC)  
In recent years, human activity recognition in intelligent visual surveillance has drawn much attention in the field of video analysis technology due to the growing demand from many applications, such  ...  as security and surveillance, sports and gaming, healthcare, person identification at distance, crowd behavior analysis, suspicious event detection and alarming in public/private places, traffic management  ...  Summarization and retrieval of consumer content such as sports videos is one of the most commercially viable applications of this technology [6] . 3) Security and Surveillance: Security and surveillance  ... 
doi:10.1109/icgtspicc.2016.7955356 fatcat:stlalaad7jacxkqaxwbhfpnrn4
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