A method of processing multimedia data, the method comprising: obtaining content classifications of multimedia data, wherein the content classifications include content classifications for portions of the multimedia data; determining a bit rate associated with the content classification, whereby multimedia data with a classification indicative of less texture and motion is allocated less bits; and encoding portions of the multimedia data based on the bit rate, wherein: a content classification for a portion is obtained from: calculating a texture value indicating the complexity of luminance values, said value associated with spatial complexity of the portion; calculating a motion value associated with temporal complexity of the portion; associating the motion value with a category of motion values of a plurality of categories of motion values and associating the texture value with a category of texture values of a plurality of categories of texture values; and determining the content classification from a classification chart, wherein the classification chart comprises a plurality of different classifications generated based on predetermined evaluations of video data content and the step of determining the content classification comprises cross-referencing the classification chart with the associated category for the motion value and the associated category for the texture value. obtaining content classifications of multimedia data, wherein the content classifications include content classifications for portions of the multimedia data; determining a bit rate associated with the content classification, whereby multimedia data with a classification indicative of less texture and motion is allocated less bits; and encoding portions of the multimedia data based on the bit rate, wherein: a content classification for a portion is obtained from: calculating a texture value indicating the complexity of luminance values, said value associated with spatial complexity of the portion; calculating a motion value associated with temporal complexity of the portion; associating the motion value with a category of motion values of a plurality of categories of motion values and associating the texture value with a category of texture values of a plurality of categories of texture values; and determining the content classification from a classification chart, wherein the classification chart comprises a plurality of different classifications generated based on predetermined evaluations of video data content and the step of determining the content classification comprises cross-referencing the classification chart with the associated category for the motion value and the associated category for the texture value. a content classification for a portion is obtained from: calculating a texture value indicating the complexity of luminance values, said value associated with spatial complexity of the portion; calculating a motion value associated with temporal complexity of the portion; associating the motion value with a category of motion values of a plurality of categories of motion values and associating the texture value with a category of texture values of a plurality of categories of texture values; and determining the content classification from a classification chart, wherein the classification chart comprises a plurality of different classifications generated based on predetermined evaluations of video data content and the step of determining the content classification comprises cross-referencing the classification chart with the associated category for the motion value and the associated category for the texture value. calculating a texture value indicating the complexity of luminance values, said value associated with spatial complexity of the portion; calculating a motion value associated with temporal complexity of the portion; associating the motion value with a category of motion values of a plurality of categories of motion values and associating the texture value with a category of texture values of a plurality of categories of texture values; and determining the content classification from a classification chart, wherein the classification chart comprises a plurality of different classifications generated based on predetermined evaluations of video data content and the step of determining the content classification comprises cross-referencing the classification chart with the associated category for the motion value and the associated category for the texture value.