@InProceedings{Kreuzberger2015a, author = {Kreuzberger, Christian and Posch, Daniel and Hellwagner, Hermann}, booktitle = {Proceedings of the 6th ACM Multimedia Systems Conference}, title = {A Scalable Video Coding Dataset and Toolchain for Dynamic Adaptive Streaming over HTTP}, year = {2015}, address = {New York, NY, USA}, editor = {Wei, Tsang Ooi}, month = {mar}, pages = {213--218}, publisher = {ACM}, series = {MMSys '15}, abstract = {With video streaming becoming more and more popular, the number of devices that are capable of streaming videos over the Internet is growing. This leads to a heterogeneous device landscape with varying demands. Dynamic Adaptive Streaming over HTTP (DASH) offers an elegant solution to these demands. Smart adaptation logics are able to adjust the clients' streaming quality according to several (local) parameters. Recent research indicated benefits of blending Scalable Video Coding (SVC) with DASH, especially considering Future Internet architectures. However, except for a DASH dataset with a single SVC encoded video, no other datasets are publicly available. The contribution of this paper is two-fold. First, a DASH/SVC dataset, containing multiple videos at varying bitrates and spatial resolutions including 1080p, is presented. Second, a toolchain for multiplexing SVC encoded videos is provided, therefore making our results reproducible and allowing researchers to generate their own datasets.}, doi = {10.1145/2713168.2713193}, isbn13 = {978-1-4503-3351-1}, keywords = {DASH; Dataset; Toolchain; Scalable Video Coding}, language = {EN}, location = {Portland, Oregon}, pdf = {https://www.itec.aau.at/bib/files/dash_svc_dataset_v1.05.pdf}, talkdate = {2015.03.18}, talktype = {registered}, url = {http://concert.itec.aau.at/SVCDataset/} }