Abstract
In new mobile video applications, the subjectively perceived visual and audiovisual qualities are critical factors in the wide audience adoption of mass products. The critical factors in mobile video coding are related to low bitrates, framerates and screen size of the devices. The first part of this study examined the effects of codecs, bitrates and picture ratio on the perceived visual video quality. In the second study, effects of two audio–video bitrate ratios are presented as factors in the perceived audiovisual video quality and the results are compared to the previous study that showed the content dependency in the audio–video bitrate ratio comparisons. In the results of the visual quality study, H.264 was rated as the most satisfying, but the quality was still not enough for text legibility and perceiving important details of image due to the QCIF picture ratio. The codec XviD was in generally experienced as worse than the H.264, but with the screen size SIF-SP with XviD codec was rated better with several contents. In the audiovisual study, the results also showed that in the low total bitrates the significance of audio is increased. However, the higher and lower bitrates had similar content dependent effects.
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References
ANSI T1.801.02 (1996) Digital transport of video teleconferencing/videoTelephony signals—performance terms, definitions, and examples. ANSI, New York
Apteker RT, Fisher JA, Kisimov VS, Neishlos H (1995) Video acceptability and frame rate. IEEE Multimed 3(3):32–40
Barten PGJ (1999) Contrast sensitivity of the human eye and its effects on image quality. SPIE, Washington
Beerends JG, de Caluwe FE (1999) The influence of video quality on perceived audio quality and vice versa. J Audio Eng Soc 47(5):355–362
Brandenburg K (1999) MP3 and AAC explained, AES 17th International Conference on HighQuality Audio Coding. Italy
Engeldrum PG (2000) Psychometric scaling. A toolkit for imaging systems development. Imcotek, Winchester
ETSI (2005) “Digital Video Broadcasting (DVB); Specification for the use of video and audio coding in DVB services delivered directly over IP,” ETSI standard, ETSI TS 102 005 V1.2.0, 2005
Finnpanel. Television audience measurements. http://www.finnpanel.fi. (visited 05/2004)
Fukuda K (2000) Integrated QoS control mechanisms for real-time multimedia systems in Reservation-based networks. PhD Thesis, Osaka University
Ghinea G, Chen SY (2003) The impact of cognitive styles on perceptual distributed multimedia quality. Br J Educ Technol 34(4):393–406
Ghinea G, Thomas JP (1998) QoS impact user perception and understanding of multimedia video clips. Proceedings of ACM Multimedia ‘98. Bristol: 1998. pp 49–54
Goldstein EB (2002) Sensation and perception. Wadsworth, Belmont, CA, p 684
Gulliver SR,Serif T, Ghinea G (2004) Pervasive and standalone computing: the perceptual effects of variable multimedia quality. Int J Human Comput Stud 60(5–6):640–665
Hands DS (2004) A basic multimedia quality model. IEEE Trans Multimedia 6(6):806–816 (December)
Hinton PR, Bronlow C, MaMurray I, Conzens B (2004) SPSS explained. Routledge, New York, p 377
ISO Standards Handbook 35 (1990) Acoustics, 1st edn. International Standardization Organization, Switzerland, p 386
ISO 7029 SFS-EN Acoustics (2000) Statistical distribution of hearing threshold as a function of age. International Standardization Organization.
ISO/IEC 14496-10:2003 (2003) “Coding of Audiovisual Objects-Part 10: Advanced Video Coding,” 2003, also ITU-T Recommendation H.264 “Advanced vide o coding for generic audiovisual services”
ITU-R BT.500-11 (2002) Methodology for the subjective assessment of the quality of television pictures, International Telecommunications Union—Radiocommunication sector.
ITU-T P.911 (1998) Subjective audiovisual quality assessment methods for multimedia applications. Telecommunications Union—Telecommunication sector.
ITU-T P.920 (2000) Interactive test methods for audiovisual communications, International Telecommunications Union—Telecommunication sector.
Jumisko-Pyykkö S, Häkkinen J (2005) Evaluation of subjective Video Quality on Mobile Devices. In: Proceedings of the 13th ACM international conference on multimedia 6–12 November, Singapore, pp 535–538
Knoche H, McCarthy JD, Sasse MA (2005) Can small be beautiful? Assessing image size requirements for mobile TV. In Proceedings of ACM multimedia 2005, 561, 6–12 November, Singapore
Koskinen I, Kurvinen E, Lehtonen T-K (2002) Mobile image. IT-Press, Helsinki
Lessiter J, Freeman J (2001) Really hear? The effects of audio on precence. In: 4th international workshop on presence (Philadelphia, USA). 21–23. May
Lu Z, Lin W, Seng BC, Katob C, Yao S, Ong E, Yang XK (2005) Measuring the negative impact of frame dropping on perceptual visual quality. In: Proceedings of the SPIE/IS&T human vision and electronic imaging, vol. 5666. San Jose, United States of America (January)
McCarthy JD, Sasse MA, Miras D (2004) Sharp or smooth?: comparing the effect of quantization vs. framerate for streamed video. In: Proceedings of the 2004 conference on human factors in computing systems. Vienna. pp 535–542
McGurk H, MacDonald J (1976) Hearing lips and seeing voices. Nature 264:746–748
Mullin J, Jackson M, Anderson AH, Smallwood L, Sasse MA, Watson A, Wilson G (2002) Assessment method for assessing audio and video in real-time interactive communications. February
Nemethova O, Zahumensky M, Rupp M (2004) Preprocessing of ball game video-sequences for robust transmission over mobile networks. In: Proceedings of the CIC 2004 the 9th CDMA international conference
Patton MQ (1986) Qualitative evaluation methods. Sage, London
Reeves B, Nass C (1996) The media equation: how people treat computers, television, and new media like real people and places. Cambridge University Press, New York
Södergård C (ed) (2003) Mobile television—technology and user experiences, Report on the Mobile -TV Project. Espoo: VTT Publications 506, 2003. p 298
Van Wassenhove V, Grant KW, Poeppel D (2005) Visual speech speeds up the neural processing of auditory speech. Proc Natl Acad Sci USA 102(4):1181–1186
VQEG (2000) VOEG—Final Report from the video quality experts group on the validation of objective models of video quality assessment (http://www.vqeg.org)
Vuori T, Olkkonen M, Pölönen M, Siren A, Häkkinen J (2004) Can eye movements be quantitatively applied to image quality studies? In: Proceedings of the third Nordic conference on human–computer interaction. Tampere. pp 335–338
Watson A, Sasse MA(1998) Measuring perceived quality of speech and video in multimedia conferencing applications. In: Proceedings of the ACM multimedia 1998. Bristol, UK. pp 55–60
Wiegand T, Sullivan GJ, Bjøntegaard G, Luthra A (2003) Overview of the H.264/ AVC video coding standard. IEEE Trans Circuits Syst Video Technol 13(7):1–19
Winkler S, Faller C (2005) Audiovisual quality evaluation of low-bitrate video. In: Proceedings of the SPIE/IS&T human vision and electronic imaging, vol. 5666. San Jose, USA: January. pp 139–148
Winkler S, Faller C (2005) Maximizing audiovisual quality at low bitrates. In: Workshop on video processing and quality metrics for consumer electronics. Scottsdale, USA: January (invited paper)
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Jumisko-Pyykkö, S. “I would like to see the subtitles and the face or at least hear the voice”: Effects of picture ratio and audio–video bitrate ratio on perception of quality in mobile television. Multimed Tools Appl 36, 167–184 (2008). https://doi.org/10.1007/s11042-006-0080-9
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DOI: https://doi.org/10.1007/s11042-006-0080-9