METHOD AND APPARATUS FOR QUALITY RANKING OF MEDIA
In accordance with an example embodiment of the present invention, an apparatus comprises a processor configured to monitor a user's quality parameter preference to determine a quality parameter for a reference media, update the quality parameter of the reference media, and adapt the quality parameter of the reference media.
1 . (canceled)
2 . A method comprising:
determining one or more quality parameters for ranking a candidate media;
assigning a value for each of the one or more quality parameters;
determining whether there is a reference media, wherein the reference media is a representation of a quality level of a media;
in response to determining there is a reference media, calculating a quality score based at least in part on a comparison on the one or more quality parameters between the candidate media and the reference media; and
in response to determining there is no reference media, calculating a quality score based at least in part on a quality level of each of the one or more quality parameters of the candidate media.
3 . The method of claim 2 , wherein the one or more quality parameters comprise one or more of: resolution, sharpness, signal-to-noise ratio, dynamic range, tonal balance, color balance, distortion, light falloff, lateral chromatic aberration, veiling glare, horizontal alignment, vertical alignment and facial detection.
4 . The method of claim 2 , wherein the quality level comprises one of good, average and low level.
5 . The method of claim 2 , wherein determining one or more quality parameters for ranking a candidate media comprises determining one or more quality parameters for ranking a candidate media based on a user quality preference.
6 . The method of claim 2 , further comprising determining the reference media based on a user quality preference.
7 . The method of claim 2 , further comprising providing a user interface to receive a user input on the user quality preference.
8 . The method of claim 2 , further comprising automatically adapting the user quality preference based at least in part on monitoring user behavior.
9 . A server comprising:
a network interface;
a database configured to store a plurality of quality parameters; and
a processor communicatively coupled to the network interface and the database, the processor configured to:
determine one or more quality parameters for ranking a candidate media,
assign a value for each of the one or more quality parameters,
determine whether there is a reference media, wherein the reference media is a representation of a quality level of a media,
in response to determining there is a reference media, calculating a quality score based at least in part on a comparison on the one or more quality parameters between the candidate media and the reference media, and
in response to determining there is no reference media, calculating a quality score based at least in part on a quality level of each of the one or more quality parameters of the candidate media.
10 . The server of claim 9 , wherein the one or more quality parameters comprise one or more of: resolution, sharpness, signal-to-noise ratio, dynamic range, tonal balance, color balance, distortion, light falloff, lateral chromatic aberration, veiling glare, horizontal alignment, vertical alignment and facial detection.
11 . The server of claim 9 , wherein the quality level comprises one of good, average and low level.
12 . The server of claim 9 , wherein when determining one or more quality parameters for ranking a candidate media the processor is further configured to determine one or more quality parameters for ranking a candidate media based on a user quality preference.
13 . The server of claim 9 , wherein the processor is further configured to determine the reference media based on a user quality preference.
14 . The server of claim 9 , wherein the processor is further configured to provide a user interface to receive a user input on the user quality preference.
15 . The server of claim 9 , wherein the processor is further configured to automatically adapt the user quality preference based at least in part on monitoring user behavior.