Paper
17 January 2005 Multimedia quality evaluation across different modalities
Truong Cong Thang, Yong Man Ro
Author Affiliations +
Proceedings Volume 5668, Image Quality and System Performance II; (2005) https://doi.org/10.1117/12.587763
Event: Electronic Imaging 2005, 2005, San Jose, California, United States
Abstract
In heterogeneous computing environments, multimedia contents would be adapted drastically in terms of quality as well as modality. There is a strong need to measure the content quality in this context, i.e. with both content scaling and modality conversion. However, the quality is often considered within a single modality (e.g. video, audio). There has been very little work on quality evaluation when the content's modality is variously converted (e.g. a video converted to a sequence of "important" images or explanatory text). This paper aims at evaluating the content quality across different scaling levels and modalities. We contend that the quality consists of two key aspects: the perceptual quality and the semantic quality. The former refers to user's satisfaction in perceiving the content, regardless of what information the content contains; the latter, which is crucial in modality conversion, refers to the amount of conveyed information, regardless of how the content is presented. We design a procedure to measure these two qualities through subjective tests, and then we present computational methods that can be used to replace the time-consuming subjective method. The experiments show the insights into the dependence of the qualities on modalities and content scaling levels.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Truong Cong Thang and Yong Man Ro "Multimedia quality evaluation across different modalities", Proc. SPIE 5668, Image Quality and System Performance II, (17 January 2005); https://doi.org/10.1117/12.587763
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Cited by 4 scholarly publications.
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KEYWORDS
Video

Image quality

Semantic video

Multimedia

Quality measurement

Data modeling

Quantization

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