A RATE-CONSTRAINED KEY-FRAME EXTRACTION SCHEME FOR CHANNEL-AWARE VIDEO STREAMING (MP-L2)

Author(s) : Yu-Hsuan Ho (National Chung Cheng University, Taiwan) Wei-Ren Chen (Ulead, Taiwan) Chia-Wen Lin (National Chung Cheng University, Taiwan)

Abstract : This paper presents an adaptive rate-constrained key-frame selection scheme for channel-aware realtime video streaming applications. The proposed method dynamically determines the target number of key-frames by estimating the channel conditions according to the feedback information. A two-step sequential key-frame selection scheme is then adopted to select the target number of key-frames by first finding the optimal allocation among the video shots in a video clip using an analytical model, and then selecting most representative key-frames in each shot according to the allocation. The feature information used for key-frame selection is extracted offline and stored in the server as metadata for realtime streaming and transcoding. Experimental results show that the proposed method can achieve good performance with acceptable complexity.

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