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Digital Video Source Identification based on Container's Structure Analysis

Raquel Ramos Lopez, Elena Almaraz Luengo, Ana Lucila Sandoval Orozco, Luis Javier Garcia Villalba
2020 IEEE Access  
This paper aims to create a technique that identifies the source of digital videos generated by digital devices through the use of unsupervised algorithms based on the analysis of the structure of multimedia  ...  The forensic analysis of digital videos becomes very relevant to determine the origin and authenticity of a video in order to link an individual with a device, place or event.  ...  RESULTS OF HIERARCHICAL CLUSTER ALGORITHM All executions have been complete with the different configurations, shown in Tables 8 and 9 , for each of the datasets used in this work.  ... 
doi:10.1109/access.2020.2971785 fatcat:hzfonpuqhrauvfcmjkfdrcbf6y

Wireless Personal Communications: Machine Learning for Big Data Processing in Mobile Internet

Jun Guo, Zheng-Hua Tan, Sung Ho Cho, Guoqiang Zhang
2018 Wireless personal communications  
called ACVC (adaptive cooperative video coding) based on AJSCC and with the concept of coset coding in distributed source coding, to improve the overall video broadcast quality in wireless cooperative  ...  The special issue on Machine Learning for Big Data Processing in Mobile Internet is composed of fourteen high-quality original papers covering theoretical and practical aspects on this emerging topic in  ... 
doi:10.1007/s11277-018-5916-x fatcat:r6ik6co7pjabhoc5jczn3ecy6e

Fast robust reconstruction of large-scale environments

Jan-Michael Frahm, Marc Pollefeys, Svetlana Lazebnik, Brian Clipp, David Gallup, Rahul Raguram, Changchang Wu
2010 2010 44th Annual Conference on Information Sciences and Systems (CISS)  
The approach presented in this paper tackles the active research problem of the fast automatic modeling of large-scale environments from videos with millions of frames and collection of tens of thousands  ...  of photographs downloaded from the Internet.  ...  The reconstruction algorithm registered 9025 cameras out of 47238 images downloaded from the Internet.  ... 
doi:10.1109/ciss.2010.5464819 dblp:conf/ciss/FrahmPLCGRW10 fatcat:bss662kodrbrliphll6l5l42gm

Combining spanning trees and normalized cuts for Internet retrieval

Sharat Chandran, Abhishek Ranjan, Simone Santini, Raimondo Schettini
2003 Internet Imaging V  
The key idea is to use local approach for reducing the size of the problem that is fed to the normalized cut approach. Our algorithm runs in O(n log n) time.  ...  Despite controlling various parameters, the bottom-up approach 1 produces too many segments for an Internet search retrieval scheme.  ...  Much of the implementation was based on original work by Naga Kiran.  ... 
doi:10.1117/12.528556 fatcat:jqimur5j5vfj3l4spd5mmpunsy

HYBRID APPROACH FOR KEY FRAME EXTRACTION FROM VIDEO SEQUENCE

Satish Kumar
2017 International journal of research - granthaalayah  
This method first uses histogram difference to extract the candidate key frames from the video sequences, later using Background subtraction algorithm (Mixture of Gaussian) was used to fine tune the final  ...  This paper proposed and developed hybrid approach for extraction of key-frames from video sequences from stationary camera.  ...  The drawback of this method is that it gives quality results only for uncompressed video shots i.e., without camera motion.  ... 
doi:10.29121/granthaalayah.v5.i4racsit.2017.3361 fatcat:5kdcixlbrzdwbfdo5uavpdkuyu

Big Data Image Processing Based on Coefficient 3D Reconstruction Model

Hujun Sun, Hye-jin Kim
2022 Mobile Information Systems  
The field of human research is gradually moving in the direction of multiscientific exploration and deepening of related work.  ...  Finally, it studies the video image feature extraction technology of video content and uses this to study the design of a big data image processing platform for 3D reconstruction models.  ...  With the rapid development of the Internet and mobile Internet, multimedia data such as video images has begun to show explosive growth.  ... 
doi:10.1155/2022/2301795 fatcat:5iu64hwmebhfxpbmjb24wziltq

Finding out Reasons for Low Completion in MOOC Environment: An Explicable Approach Using Hybrid Data Mining Methods

Tian-yi LIU, Xiu LI
2017 DEStech Transactions on Social Science Education and Human Science  
These learners are representative of low completion in course study on MOOC platform.  ...  Because of the worldwide rapid development of MOOC, academic researches and industrial applications of MOOC have become a branch of the major concerns in modern education and information technology fields  ...  Acknowledgement This work was supported by MOE research center for online education foundation (No 2016ZD302). Part of the experiments was supported by XuetangX.  ... 
doi:10.12783/dtssehs/meit2017/12893 fatcat:wlycivcicfdwli2n3h4f6gv2se

Design of Cloud Monitor System for Fire Detection Based on Video Streaming

Haiyan Li, Lihui
2019 International Journal of Engineering and Applied Sciences (IJEAS)  
VIDEO PROCESS SYSTEM Video collect and algorithm processing are completed by the video process module with DM642 as the core.  ...  Haiyan Li master's degree at Nanjing University of Science and Technology, 2014.9-2017.4, Jiangsu Province, China. The main research direction is video image processing based on DSP.  ... 
doi:10.31873/ijeas.6.11.19 fatcat:rqmzsszb7fed5au2otvvam3zxq

UAV Cluster-based Video Surveillance System Optimization in Heterogeneous Communication of Smart Cities

Yong Jin, Zhenjiang Qian, Weiyong Yang
2020 IEEE Access  
In order to solve the above problems, this paper designs a series of optimization algorithms and scheduling strategies based on Unmanned Aerial Vehicle (UAV) cluster.  ...  Secondly, we formulate the scheduling problem of UAV cluster as bi-objective fragile bin packing problem, and design an optimal scheduling algorithm with constant approximation performance ratio.  ...  His current research interests include edge/fog computing, wireless charging systems, the Industrial Internet of Things, and so on.  ... 
doi:10.1109/access.2020.2981647 fatcat:jmiwap5cfvhddnf4x4opzfdhoe

Personalized Marketing Recommendation System of New Media Short Video Based on Deep Neural Network Data Fusion

Feifeng Huang, Mu Zhou
2021 Journal of Sensors  
With the rapid development of mobile Internet, short video has become another darling after traditional webcast in recent years.  ...  on the advantages and characteristic models of short video marketing in social media.  ...  In theory, short video marketing, as a new form of marketing that emerged this year with the development of the mobile Internet, has attracted a lot of attention in academia, but researchers have seen  ... 
doi:10.1155/2021/3638071 fatcat:tyxatp4w3nbrviknr4an7oyyea

A statistical and clustering study on Youtube 2D and 3D video recommendation graph

Ioannis Tsingalis, Ioannis Pipilis, Ioannis Pitas
2014 2014 6th International Symposium on Communications, Control and Signal Processing (ISCCSP)  
For example, in Table 1 Clusters 1 and 5 of the semi-supervised method have similar semantic content with the Cluster 3 of the unsupervised algorithm.  ...  More specifically, the last layer of the BFS tree which contains mostly low degree nodes, this is verified from the long-tail degree distribution, is not complete because the crawler has to stop when the  ... 
doi:10.1109/isccsp.2014.6877872 dblp:conf/isccsp/TsingalisPP14 fatcat:per4sk47bnctzbgqfni25k5g5i

Misclassified Samples based Hierarchical Cascaded Classifier for Video Face Recognition

2017 KSII Transactions on Internet and Information Systems  
The experiments on the database collected by ourselves show that the recognition accuracy of the proposed classifier outperforms the compared recognition algorithms, such as neural network and sparse representation  ...  In single classifier construction stage, classifier is created by clustering and the number of classes is computed by analyzing distance tree.  ...  Her current research interests include motion pattern learning and crowd behavior analysis based on clustering algorithm, visual object tracking based on particle filter, both of which focus on complex  ... 
doi:10.3837/tiis.2017.02.009 fatcat:6riqsymqhvftdp7rcqbsxw2l7i

Constructing of Multimedia Resources for Second Language Teaching Based on Intelligent Information Processing of Movie Resources

Hua Liu
2013 International Journal of Emerging Technologies in Learning (iJET)  
Lastly, based on words' used degree, by calculating degree of difficulty of caption's dialogue, graded videos' corresponding to captions, constructed a large multimedia database for oral Chinese teaching  ...  Based on the topic models database and time density of caption's dialogue, designed a adaptive, iterative incremental learning algorithm, which could meanwhile carry out topic detection, words clustering  ...  algorithm and procedures have been completed.  ... 
doi:10.3991/ijet.v8i5.3045 fatcat:ijsyfxj7zjev5c4knajsl7vnbu

Internet-Based Approaches to Designing an Online Fitness Platform

Bo Liu, Fazlullah Khan
2022 Journal of Healthcare Engineering  
In order to proceed fitness related videos suggestions, this platform uses a collaborative filtering algorithm, which is based on videos recommendation.  ...  Additionally, enhancement in the well-being of individuals is carried through video recommendations.  ...  Partially parallel results of filtering algorithm based on videos, as shown in Figure 6 , x-and y-axes, represent different video, respectively, whereas clustering results of similarity ranges from user  ... 
doi:10.1155/2022/9113569 pmid:35126953 pmcid:PMC8808173 fatcat:ry5aysap5jdcjmnmpdhhkkfvza

Internet Multicast Video Delivery

A. Ganjam, H. Zhang
2005 Proceedings of the IEEE  
Internet video delivery has been motivating research in multicast routing, quality of service (QoS), and the service model of the Internet itself for the last 15 years.  ...  The semantics of this interface is an important question for future research and we discuss this with insight from experience on delivery technologies.  ...  Point-to-point delivery is currently used for video on demand (VoD) and interactive video [1], as well as much of Internet video streaming, and can support a small audience with a large number of streams  ... 
doi:10.1109/jproc.2004.839602 fatcat:ixh2d5qjonhrji2qjvj6654sne
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