17. A computer-implemented method for defining a model, comprising: at a computer system having one or more processors and memory storing one or more programs that when executed by the one or more processors cause the computer system to perform the method, the method comprising: analyzing a plurality of images of a space in a static configuration, at least one of the images including a plurality of distinctive visual features, wherein the plurality of distinctive visual features include: one or more distinctive visual features corresponding to a physical object in the space in the static configuration; and a predefined marker associated with respective semantic information specifying respective dynamic behavior; and defining a model in accordance with the plurality of distinctive visual features and the respective semantic information, wherein: the model includes a model aspect corresponding to the physical object; and the model aspect is configured to be manipulated in accordance with the respective dynamic behavior specified by the predefined marker.
17. A computer-implemented method for defining a model, comprising: at a computer system having one or more processors and memory storing one or more programs that when executed by the one or more processors cause the computer system to perform the method, the method comprising: analyzing a plurality of images of a space in a static configuration, at least one of the images including a plurality of distinctive visual features, wherein the plurality of distinctive visual features include: one or more distinctive visual features corresponding to a physical object in the space in the static configuration; and a predefined marker associated with respective semantic information specifying respective dynamic behavior; and defining a model in accordance with the plurality of distinctive visual features and the respective semantic information, wherein: the model includes a model aspect corresponding to the physical object; and the model aspect is configured to be manipulated in accordance with the respective dynamic behavior specified by the predefined marker. 18. The method of claim 17 , wherein the associated semantic information is defined in accordance with a markup language that specifies model aspects and rules for combining the semantic information associated with a plurality of distinctive visual features.