Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Sujeet Shyamsundar Mate"'
Publikováno v:
IEEE Communications Magazine. 55:180-187
There has been a tremendous increase in the amount of user generated content (UGC), and many mobile devices are also equipped with sensors (magnetic compass, accelerometer, gyroscope, etc.). We present an automatic video remixing system (AVRS), which
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bed6314c4af88fee26447d3fb40c1c82
https://doi.org/10.1109/mcom.2017.1500493cm
https://doi.org/10.1109/mcom.2017.1500493cm
Publikováno v:
TVX (Adjunct)
We present a novel approach for sport video summary production that leverages the best aspects of mobile devices and professional equipment. The proposed recording set-up and workflow, consisting of both types of devices has two main advantages compa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca3fde0264caa7f45d7ca210068e9b26
https://doi.org/10.1145/3084289.3089922
https://doi.org/10.1145/3084289.3089922
Autor:
Francesco Cricri, Jussi Leppänen, Mikko J. Roininen, Moncef Gabbouj, Igor Danilo Diego Curcio, Sujeet Shyamsundar Mate, Stefan Uhlmann
Publikováno v:
IEEE Transactions on Multimedia. 16:917-932
The recent proliferation of mobile video content has emphasized the need for applications such as automatic organization and automatic editing of videos. These applications could greatly benefit from domain knowledge about the content. However, extra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c8a7f35cb7613cb94ecc5f4fbf7a2c11
https://doi.org/10.1109/tmm.2014.2307552
https://doi.org/10.1109/tmm.2014.2307552
Publikováno v:
SAC
In this paper we present a first of its kind automatic multi-camera video remix creation system from a single video, referred to as SmartView. We present a novel method which uses the fusion of multimodal content analysis and cinematic rules, for cre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b9ada84a2f33684739bb85c4ff42e234
https://doi.org/10.1145/2695664.2695881
https://doi.org/10.1145/2695664.2695881
Publikováno v:
ISM
Modern smartphones have become the most popular means for recording videos. In fact, thanks to their portability, smartphones allow for recording anything and at any moment of our everyday life. One common occasion is represented by sport happenings,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26f3a96b3a14e7ef19858a58a4fb16d5
https://doi.org/10.1109/ism.2014.67
https://doi.org/10.1109/ism.2014.67
Autor:
Arto Lehtiniemi, Sujeet Shyamsundar Mate, Jarno Ojala, Kaisa Väänänen-Vainio-Mattila, Igor Danilo Diego Curcio
Publikováno v:
MUM
This paper describes a user evaluation study of automated creation of mobile video remixes in three different event contexts. The evaluation contributes to the design process of the Automatic Video Remixing System, deepening knowledge to wider usage
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::116a97d34150445b3804b31b5424e6aa
https://doi.org/10.1145/2677972.2677975
https://doi.org/10.1145/2677972.2677975
Autor:
Jussi Leppänen, Igor Danilo Diego Curcio, Moncef Gabbouj, Mikko J. Roininen, Sujeet Shyamsundar Mate, Francesco Cricri
Publikováno v:
ICME
We present a robust multimodal approach for classifying the sport genre in videos recorded by mobile phone users at a sport event. In addition to traditional audio-visual content analysis tools, we propose to analyze auxiliary sensor data (electronic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::56377ce817767795eadd0c6aa0a36c40
https://doi.org/10.1109/icme.2013.6607536
https://doi.org/10.1109/icme.2013.6607536
Publikováno v:
CHI
Digital memorabilia, such as video remixes, can increase the value of attending music events. Remixes can be made using video clips recorded by attendees during the event; however, producing them is a laborious task. In this paper we study the prospe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4455b2575bf90a13f7b42931956026c3
https://doi.org/10.1145/2207676.2207768
https://doi.org/10.1145/2207676.2207768
Autor:
Sujeet Shyamsundar Mate, Moncef Gabbouj, Francesco Cricri, Kostadin Dabov, Igor Danilo Diego Curcio
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783642273544
MMM
MMM
In this work we propose to exploit context sensor data for analyzing user generated videos. Firstly, we perform a low-level indexing of the recorded media with the instantaneous compass orientations of the recording device. Subsequently, we exploit t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::49cd2ab6df8c34e9ade685e0048a3aef
https://doi.org/10.1007/978-3-642-27355-1_25
https://doi.org/10.1007/978-3-642-27355-1_25
Autor:
Kostadin Dabov, Igor Danilo Diego Curcio, Mikko J. Roininen, Sujeet Shyamsundar Mate, Francesco Cricri, Moncef Gabbouj
Publikováno v:
Advances in Multimedia, Vol 2012 (2012)
User-generated video content has grown tremendously fast to the point of outpacing professional content creation. In this work we develop methods that analyze contextual information of multiple user-generated videos in order to obtain semantic inform
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f9680af2b2892519186d80e6cfbec1ee