we presented SVC bit-stream extraction scheme using perceptual quality preference. In our analysis, video segments belonging to the same semantic concept (video class) have consistent characteristic of quality preference. This characteristic is different from that of different semantic concept. Therefore, depending on semantic concept, different quality emphasis on multi-dimensional scalability is preferable. Take for example; more bit-rates for temporal scalability layers are allocated for action scene. In the extractor, for action scene, more NAL units for temporal scalability are extracted to sustain frame rate higher enough while SNR quality is degraded. On the contrary, for a scene in drama category, more bit-rate is allocated for SNR scalability. Based on the achieved quality preference in five semantic concepts, quality information tables (QIT) for SVC bit-stream extraction were determined. The determined QITs are applied to SVC bit-stream extraction and the detailed extraction procedure for the requested quality was shown in our experiment. Finally, we can conclude that different tradeoff of multi-dimensional scalability should be considered depending on characteristic of video scene to maximize perceptual quality, since different perceptual quality preference exists in different video class. With the proposed SVC bit-stream extraction scheme, perceptual quality depending on video class can be applied efficiently