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.
Keywords user preferences - perceived video quality - video adaptation methods - QoE