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Human recognize an object through eyes scanning in a certain order. We think that the proper order is helpful for capturing useful characteristics, which makes our recognition process rapidly and accurately. Therefore, we propose a memory-based sequence learning model to simulate the human recognition process. Firstly, we divide the image without overlapping to generate the sequence. Then, a convolutional...
In this paper, we attempt to overcome the limitation of specific scalable video codec and apply FEC-MDC to a common video coder, such as the standard H.264. The proposed scheme is explained as follows. Firstly, according to motion vector changes, an original video sequence is divided into several sub-sequences as messages, so in each message better temporal correlation can be maintained for better...
A generalized multiple description video coding based on hierarchical B pictures is proposed in this paper. Two descriptions are generated by employing the H.264/MPEG4-AVC codec conforming coding with hierarchical B pictures on the original video sequence. The only difference between the two descriptions lies in the selection of key pictures. Temporal scalability for each description is achieved benefiting...
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