In this paper, we present a three-dimensional (3D) model-based video coding scheme for streaming static scene video in a compact way but also enabling time and spatial scalability according to network or terminal capability and providing 3D functionalities. The proposed format is based on encoding the sequence of reconstructed models using second-generation wavelets, and efficiently multiplexing the resulting geometric, topological, texture, and camera motion binary representations. The wavelets decomposition can be adaptive in order to fit to images and scene contents. To ensure time scalability, this representation is based on a common connectivity for all 3D models, which also allows straightforward morphing between successive models ensuring visual continuity at no additional cost. The method proves to be better than previous methods for video encoding of static scenes, even better than state-of-the-art video coders such as H264 (also known as MPEG AVC). Another application of our approach are smoothing camera path for suppression of jitter from hand-held acquisition and the fast transmission and real-time visualization of virtual environments obtained by video capture, for virtual or augmented reality and interactive walk-through in photo-realistic 3D environments around the original camera path

This paper presents an efficient and scalable coding scheme for transmitting a stream of 3D models extracted from a video of a static scene. As in classical model-based video coding, the geometry, connectivity, and texture of the 3D models have to be transmitted, as well as the camera position for each frame in the original video. The proposed method is based on exploiting the interrelations existing between each type of information, instead of coding them independently, allowing a better prediction between the media and of the next information in the stream. Scalability is achieved through the use of wavelet-based representations for both texture and geometry of the models. A consistent connectivity is built for all 3D models extracted from the video sequence in order to get a consistent representation of the sequence possibly evolving in time. This allows a more compact representation and straightforward geometric morphing between successive time representations of the model. Furthermore this leads to consistent wavelet decomposition for 3D models in the stream. Targeted applications include distant visualization of the original video at very low bitrate and interactive navigation in the extracted 3D scene on heterogeneous terminals.