Abstract
Developing a content-aware coding scheme that delivers ensured QoE for end-users includes finding out which content information will be most needed; especially when wireless networks are used to send video information. Wireless in-home networks suffer from interference which creates variable throughput, which causes problems when sending video material from one device to another. Temporal and quality scaling provide classes for video adaptation methods that can handle this variable throughput. Presented research concerns the effect of temporal scaling versus quality scaling on different kinds of video content. We looked at the difference in perceived video quality between I-Frame Delay (temporal scaling) and TransCoding (quality scaling). Results show that I-Frame Delay scored better for video content without a lot of background movement, while TransCoding was scored better for scenes with lot of background movement. There are also indications that information about scene changes can be helpful to create content-aware coding.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Aldridge, R., Ghanbari, M.: Bursty error model for digital transmission channels. Electronics Letters 31, 2144–2145 (1995)
Siller, M., Woods, J.C.: QoS arbitration for improving the QoE in multimedia transmission, 238-241 (2003)
Tripathi, A., Claypool, M.: Improving Multimedia Streaming with Content-Aware Video Scaling. In: Proceedings of the Second International Workshop on Intelligent Multimedia Computing and Networking (IMMCN) (2002)
Yuen, M., Wu, H.R.: A survey of hybrid MC/DPCM/DCT video coding distortions. Signal Processing 70, 247–278 (1998)
Meesters, L.M.J., Martens, J.-B.: Influence of processing method, bit-rate, and scene content on perceived and predicted image quality. In: Proceedings of SPIE 3959, pp. 45–55 (2000)
Seyler, A., Budrikis, Z.: Detail perception after scene changes in television image presentations. IEEE Transactions on Information Theory 11, 31–43 (1965)
Jae, C.K., Jae-kyoon, K., Woongshik, Y.: Adaptive video coding rate control for better perceived picture quality in time-varying channels. 2, 521-525 (2003)
Wang, D., et al.: Toward optimal rate control: a study of the impact of spatial resolution, frame rate, and quantization on subjective video quality and bit rate. 5150, 198-209 (2003)
McCarthy, J.D., Sasse, A., Miras, D.: Sharp or smooth?: comparing the effects of quantization vs. frame rate for streamed video. In: CHI 2004, pp. 535–542 (2004)
Hauske, G., Stockhammer, T., Hofmaier, R.: Subjective image quality of low-rate and low-resolution video sequences, 1-6 (2003)
Haakma, R., Jarnikov, D., van der Stok, P.: Perceived quality of wirelessly transported videos. 1st, 213-239 (2005)
Van den Ende, N., Haakma, R., Meesters, L.M.J.: Effect of MPEG-2 Compression Parameters on Perceived Video Image Quality. In: Society for Information Display, International Symposium, Seminar and Exhibition (2006)
Kozlov, S., van der Stok, P., Lukkien, J.: Adaptive scheduling of MPEG video frames during real-time wireless video streaming. In: Sixth IEEE International Symposium on a World of Wireless Mobile and Multimedia Networks (WoWMoM’05) (2005)
Brouwers, C.J.J.: A real-time SNR scalable transcoder for MPEG-2 video streams. Eindhoven University of Technology (2006)
Masry, M., et al.: Subjective quality evaluation of low-bit-rate video. 4299, 102-113 (2001)
Zink, M., et al.: Subjective impression of variations in layer encoded videos, 137-154 (2003)
Hands, D.S., Avons, S.E.: Recency and duration neglect in subjective assessment of television picture quality. Applied Cognitive Psychology 15, 639–657 (2001)
de Hesselle, H.: Toolkit for perception experiments: development, implementation and evaluation. Eindhoven University of Technology (2006)
Thurstone, L.L.: A law of comparative judgement. Psychological Review 34, 273–286 (1927)
Boschman, M.C.: DifScal: A tool for analyzing difference ratins on an ordinal category scale. Behaviour Research Methods, Instruments, & Computers 33, 10–20 (2001)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer Berlin Heidelberg
About this paper
Cite this paper
Van den Ende, N., de Hesselle, H., Meesters, L. (2007). Towards Content-Aware Coding: User Study. In: Cesar, P., Chorianopoulos, K., Jensen, J.F. (eds) Interactive TV: a Shared Experience. EuroITV 2007. Lecture Notes in Computer Science, vol 4471. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72559-6_20
Download citation
DOI: https://doi.org/10.1007/978-3-540-72559-6_20
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-72558-9
Online ISBN: 978-3-540-72559-6
eBook Packages: Computer ScienceComputer Science (R0)