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               <mods:name>
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                     <mods:roleTerm type="text">author</mods:roleTerm>
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                  <mods:namePart>Simiscuka, Anderson</mods:namePart>
               </mods:name>
               <mods:name>
                  <mods:role>
                     <mods:roleTerm type="text">author</mods:roleTerm>
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                  <mods:namePart>Zorrilla, Mikel</mods:namePart>
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               <mods:name>
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                     <mods:roleTerm type="text">author</mods:roleTerm>
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                  <mods:namePart>Cesar, Pablo</mods:namePart>
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               <mods:name>
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                     <mods:roleTerm type="text">author</mods:roleTerm>
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                  <mods:namePart>O'Connor, Noel</mods:namePart>
               </mods:name>
               <mods:name>
                  <mods:role>
                     <mods:roleTerm type="text">author</mods:roleTerm>
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                  <mods:namePart>Muntean, Gabriel-Miro</mods:namePart>
               </mods:name>
               <mods:originInfo>
                  <mods:dateIssued encoding="iso8601">2020</mods:dateIssued>
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               <mods:abstract>In order to create an improved experience in variable network delivery conditions, immersive multimedia content can be delivered over existing network environments, from multiple sources. These sources are normally servers located in the cloud, in various locations. Storytelling and certain related content, such as the immersive opera multimedia data in the context of the European Horizon2020 project TRACTION, require multimedia players to be able to receive content simultaneously from several locations, and at times, merge the content, creating new content in real-time. For instance, 360° recordings and polygonal 3D content can be delivered from different locations, and the end-user receives the unified content on his or her device. This paper introduces a study of how devices can be analysed, in terms of metrics, when receiving multimedia content from multiple sources, as the network and the devices have constraints regarding performance and video quality</mods:abstract>
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               <mods:accessCondition type="useAndReproduction">open access Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades. https://creativecommons.org/licenses/by-nc-nd/4.0/</mods:accessCondition>
               <mods:subject>
                  <mods:topic>Multimedia delivery system</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>QoS</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>Wireless</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>Multi-source</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>Video</mods:topic>
               </mods:subject>
               <mods:titleInfo>
                  <mods:title>Performance analysis of multi-source wireless multimedia content delivery description</mods:title>
               </mods:titleInfo>
               <mods:genre>Comunicació de congrés</mods:genre>
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