Motion = Video - Content: Towards Unsupervised Learning of Motion Representation from Videos

2021 ◽  
Author(s):  
Hehe Fan ◽  
Mohan Kankanhalli
2016 ◽  
Vol 13 (3) ◽  
pp. 37-39
Author(s):  
Ralf Kaumanns

Der Kampf um das Wohnzimmer ist voll entbrannt. Eine Reihe von Anbietern versuchen Streaming Media-Dienste im deutschen Markt zu etablieren. Amazon hat sich mit seiner Strategie eine marktführende Rolle erarbeiten können. Laut einer Analyse von Goldmedia¹ besitzt Amazon mittlerweile einen Anteil im Video-On-Demand-Markt von 38,9%, deutlich vor Wettbewerbern wie Apple, Maxdome, Google oder Netflix. Der Erfolg kommt nicht von ungefähr. Der Grund liegt vor allem in einer umfassenden Strategie rund um das Thema Bewegtbild und Video Content. Im Kampf um das Wohnzimmer haben selbst große und finanzkräftige Wettbewerber einen schweren Stand, um mit umfassend gebündelten Angeboten Schritt zu halten.


2020 ◽  
Vol 2020 (4) ◽  
pp. 116-1-116-7
Author(s):  
Raphael Antonius Frick ◽  
Sascha Zmudzinski ◽  
Martin Steinebach

In recent years, the number of forged videos circulating on the Internet has immensely increased. Software and services to create such forgeries have become more and more accessible to the public. In this regard, the risk of malicious use of forged videos has risen. This work proposes an approach based on the Ghost effect knwon from image forensics for detecting forgeries in videos that can replace faces in video sequences or change the mimic of a face. The experimental results show that the proposed approach is able to identify forgery in high-quality encoded video content.


Author(s):  
Hyeuk Kim

Unsupervised learning in machine learning divides data into several groups. The observations in the same group have similar characteristics and the observations in the different groups have the different characteristics. In the paper, we classify data by partitioning around medoids which have some advantages over the k-means clustering. We apply it to baseball players in Korea Baseball League. We also apply the principal component analysis to data and draw the graph using two components for axis. We interpret the meaning of the clustering graphically through the procedure. The combination of the partitioning around medoids and the principal component analysis can be used to any other data and the approach makes us to figure out the characteristics easily.


2019 ◽  
Vol 25242644 ◽  
pp. 63-68
Author(s):  
Alina Lisnevska

The myth-making processes in the communicative space are the «cornerstone» of ideology at all times of mankind’s existence. One of the tools of the effective impact of propaganda is trust in information. Today this come round due to the dissemination of information on personalized video content in social networks, including through converged media. New myths and social settings are creating, fate of the countries is being solved, public opinion is being formed. It became possible to create artificially a model of social installation using the myths (the smallest indivisible element of the myth) based on real facts, but with the addition of «necessary» information. In the 20–30 years of the XX century cinematograph became the most powerful screen media. The article deals with the main ideological messages of the Ukrainian Soviet film «Koliivshchyna» (1933). In the period of mass cinematography spread in the Soviet Ukraine, the tape was aimed at a grand mission – creation of a new mythology through the interpretation of the true events and a con on the public, propaganda of the Soviet ideology. This happened in the tragic period of Ukrainian history (1933, the Holodomor) through the extrapolation of historical truth and its embodiment in the most formative form at that time – the form of the screen performance. The Soviet authorities used the powerful influence of the screen image to propagate dreams, illusions, images, stereotypes that had lost any reference to reality. I. Kavaleridze’s film «Koliivshchyna» demonstrates the interpretation of historical events and national ideas, the interpretation of a relatively remote past through the ideology of the «Soviet-era». The movie is created as a part of the political conjuncture of the early 1930s: the struggle against Ukrainian «bourgeois nationalism» and against the «Union of Liberation Ukraine», the repressive policies against the peasants, the close-out of the «back to the roots» policy. The movie, on the one hand, definitely addresses to the Ukrainian ideas, on the other hand it was made at the period of the repressions against the Ukrainian peasantry. In the movie «Koliivshchyna», despite the censorship, I. Kavaleridze manages to create a national inclusive narrative that depicts Ukrainian space as multi-ethnic and diverse, but at the same time nationally colorful.


2020 ◽  
Vol 4 (3) ◽  
pp. 247
Author(s):  
Dwi Swasono Rachmad

<p><em>H</em><em>ousing is derived from the word house</em><em> which means</em><em> a place that has a place to live which will stay or stop in a certain time. Housing is a residence that has been grouped into a place that has facilities and infrastructure. The problem in this study focuses on the type of residential ownership in the form of SHM ART, SHM Non ART, NON SHM and others. </em><em>T</em><em>hese four types</em><em> can be used</em><em> to know the percentage of ownership in all provinces in Indonesia. Due to the fact that there is still a lot of information about the type of certificate ownership, there is still not much ownership. Therefore, the use of the k-Means algorithm as a data mining concept in the form of clusters, where the data already has parameters or values that fall into the category of unsupervised learning. That data produced the best. The data was obtained from published sources of the Republic of Indonesia government agency, namely the Central Statistics Agency data with the category of household processing with self-owned residential buildings purchased from developers or non-developers by province and type of ownership in 2016 throughout Indonesia. In conducting the dataset, researchers used the RapidMiner application as a clustering process application. This research </em><em>shows that</em><em> there are more types of ownership in the SHM ART, but for other values it is still smaller than the value in other types of ownership which is the second largest value. So</em><em>,</em><em> in this case, the role of government in providing assistance in the process of ownership in order to become SHM ART</em><em> is very important</em><em>.</em></p>


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