Abstract: A computer-implemented method, computer program product, and computing system for rendering an annotatable image within an image viewer. An indication of an intent to annotate the annotatable image is received from a user. A meme generation interface is rendered with respect to the annotatable image. Meme annotation criteria is received from the user via the meme generation interface. The meme annotation criteria includes one or more of: a meme message, a meme position indicator, and a font type identifier. The annotatable image is modified based, at least in part, upon the meme annotation criteria, thus generating an annotated image. The annotated image is published to a meme publication website.

Abstract: A computer-implemented method, computer program product, and computing system for rendering an annotatable image within an image viewer. An indication of an intent to annotate the annotatable image is received from a user. A meme generation interface is rendered with respect to the annotatable image. Meme annotation criteria is received from the user via the meme generation interface. The meme annotation criteria includes one or more of: a meme message, a meme position indicator, and a font type identifier. The annotatable image is modified based, at least in part, upon the meme annotation criteria, thus generating an annotated image. The annotated image is published to a meme publication website.

Abstract: A computer-implemented method, computer program product, and computing system for rendering an annotatable image within an image viewer. An indication of an intent to annotate the annotatable image is received from a user. A meme generation interface is rendered with respect to the annotatable image. Meme annotation criteria is received from the user via the meme generation interface. The meme annotation criteria includes one or more of: a meme message, a meme position indicator, and a font type identifier. The annotatable image is modified based, at least in part, upon the meme annotation criteria, thus generating an annotated image. The annotated image is published to a meme publication website.

Abstract: A computer-implemented method, computer program product, and computing system for rendering an annotatable image within an image viewer. An indication of an intent to annotate the annotatable image is received from a user. A meme generation interface is rendered with respect to the annotatable image. Meme annotation criteria is received from the user via the meme generation interface. The meme annotation criteria includes one or more of: a meme message, a meme position indicator, and a font type identifier. The annotatable image is modified based, at least in part, upon the meme annotation criteria, thus generating an annotated image. The annotated image is published to a meme publication website.

Abstract: A computer-implemented method, computer program product, and computing system for rendering an annotatable image within an image viewer. An indication of an intent to annotate the annotatable image is received from a user. A meme generation interface is rendered with respect to the annotatable image. Meme annotation criteria is received from the user via the meme generation interface. The meme annotation criteria includes one or more of: a meme message, a meme position indicator, and a font type identifier. The annotatable image is modified based, at least in part, upon the meme annotation criteria, thus generating an annotated image. The annotated image is published to a meme publication website.

Abstract: A computer-implemented method, computer program product, and computing system for rendering an annotatable image within an image viewer. An indication of an intent to annotate the annotatable image is received from a user. A meme generation interface is rendered with respect to the annotatable image. Meme annotation criteria is received from the user via the meme generation interface. The meme annotation criteria includes one or more of: a meme message, a meme position indicator, and a font type identifier. The annotatable image is modified based, at least in part, upon the meme annotation criteria, thus generating an annotated image. The annotated image is published to a meme publication website.

Abstract: A computer-implemented method, computer program product, and computing system for rendering an annotatable image within an image viewer. An indication of an intent to annotate the annotatable image is received from a user. A meme generation interface is rendered with respect to the annotatable image. Meme annotation criteria is received from the user via the meme generation interface. The meme annotation criteria includes one or more of: a meme message, a meme position indicator, and a font type identifier. The annotatable image is modified based, at least in part, upon the meme annotation criteria, thus generating an annotated image. The annotated image is published to a meme publication website.

Abstract: System and method are provided to associate or compare media programs. A method includes: obtaining, using at least one processing circuit, first metadata for a first media program and second metadata for a second media program, wherein the first metadata are organized into a plurality of first fields, and the second metadata are organized into a plurality of second fields; extracting, using at least one processing circuit, a plurality of first tokens from one of the plurality of the first fields and a plurality of second tokens from one of the plurality of second fields; assigning a weight factor to each of the first and second tokens; cross-correlating the first and second tokens between the plurality of first fields and the plurality of second fields; and calculating a similarity score between the first and second media programs based on the cross-correlating.

Abstract: System and method are provided to associate or compare media programs. A method includes: obtaining, using at least one processing circuit, first metadata for a first media program and second metadata for a second media program, wherein the first metadata are organized into a plurality of first fields, and the second metadata are organized into a plurality of second fields; extracting, using at least one processing circuit, a plurality of first tokens from one of the plurality of the first fields and a plurality of second tokens from one of the plurality of second fields; assigning a weight factor to each of the first and second tokens; cross-correlating the first and second tokens between the plurality of first fields and the plurality of second fields; and calculating a similarity score between the first and second media programs based on the cross-correlating.

Abstract: System and method are provided to associate or compare media programs. A method includes: obtaining, using at least one processing circuit, first metadata for a first media program and second metadata for a second media program, wherein the first metadata are organized into a plurality of first fields, and the second metadata are organized into a plurality of second fields; extracting, using at least one processing circuit, a plurality of first tokens from one of the plurality of the first fields and a plurality of second tokens from one of the plurality of second fields; assigning a weight factor to each of the first and second tokens; cross-correlating the first and second tokens between the plurality of first fields and the plurality of second fields; and calculating a similarity score between the first and second media programs based on the cross-correlating.

Abstract: System and method are provided to associate or compare media programs. A method includes: obtaining, using at least one processing circuit, first metadata for a first media program and second metadata for a second media program, wherein the first metadata are organized into a plurality of first fields, and the second metadata are organized into a plurality of second fields; extracting, using at least one processing circuit, a plurality of first tokens from one of the plurality of the first fields and a plurality of second tokens from one of the plurality of second fields; assigning a weight factor to each of the first and second tokens; cross-correlating the first and second tokens between the plurality of first fields and the plurality of second fields; and calculating a similarity score between the first and second media programs based on the cross-correlating.