Optimal object-based scalability for video content adaptation according to the usage environment

Efficient video content adaptation requires techniques for content analysis and the development of appropriate mechanisms for content scaling in terms of the network properties, terminal devices characteristics and users' preferences. In this paper, we propose an adaptive optimal rate distortion scheme able to allocate different priorities for each video object with respect to the users' needs, network platform capabilities and terminal characteristics without violating the target bit rate of the sequence. In this paper, we consider that video objects have been already detected by a content segmentation algorithm. The proposed scheme minimizes the effects of objects on non-interest compared to objects of interest.