Iterative media object compression algorithm optimization using decoupled calibration of perceptual quality algorithms

A system, comprising:

• one or more computing devices;
• wherein the one or more computing devices include instructions that upon execution on or across the one or more computing devices:
• obtain, via one or more programmatic interfaces of a network-accessible service of a cloud computing environment, an indication of a factor for classifying a plurality of media objects into importance categories, including a first importance category and a second importance category;
• identify (a) a first set of class-specific tuned parameter values to be used to compress media objects of the first importance category, and (b) a second set of class-specific tuned parameter values to be used to compress media objects of the second importance category, wherein:
• the first set of class-specific tuned parameter values has been tuned using example media objects classified into the first importance category, and
• the second set of class-specific tuned parameter values has been tuned using example media objects classified into the second importance category;
• compress, prior to a display of a first media object, the first media object using the first set of class-specific tuned parameter values, wherein the first media object is classified, using the factor, as belonging to the first importance category;
• and
• compress, prior to a display of a second media object, the second media object using the second set of class-specific tuned parameter values, wherein the second media object is classified, using the factor, as belonging to the second importance category.

One or more non-transitory computer-accessible storage media storing program instructions that when executed on or across one or more processors:

• obtain, via one or more programmatic interfaces of a network-accessible service of a cloud computing environment, an indication of a factor for classifying a plurality of media objects into importance categories, including a first importance category and a second importance category;
• identify (a) a first set of class-specific tuned parameter values to be used to compress media objects of the first importance category, and (b) a second set of class-specific tuned parameter values to be used to compress media objects of the second importance category wherein:
• the first set of class-specific tuned parameter values has been tuned using example media objects classified into the first importance category, and
• the second set of class-specific tuned parameter values has been tuned using example media objects classified into the second importance category;
• compress, prior to a display of a first media object, the first media object using the first set of class-specific tuned parameter values, wherein the first media object is classified, using the factor, as belonging to the first importance category;
• and
• compress, prior to a display of a second media object, the second media object using the second set of class-specific tuned parameter values, wherein the second media object is classified, using the factor, as belonging to the second importance category.