Abstract: Dynamic transcoding can be used to provide supplemental content, selected to be played during breaks in a stream of primary content, that has the same format as the primary content. It can be desirable to provide supplemental content that is personalized. This may include additional content or advertising that may be of interest or relevance to a viewer. In many instances, the supplemental content will come from a different source and thus can be in a different format. Approaches in accordance with various embodiments can take advantage of dynamic transcoding of the supplemental content to provide properly formatted supplemental content through the same stream as the primary content. A custom manifest can be provided to the media player that points to the transcoded supplemental content. At an appropriate break in the playback, the media player can use the manifest to obtain the formatted supplemental content.

Abstract: Dynamic transcoding can be used to provide supplemental content, selected to be played during breaks in a stream of primary content, that has the same format as the primary content. It can be desirable to provide supplemental content that is personalized. This may include additional content or advertising that may be of interest or relevance to a viewer. In many instances, the supplemental content will come from a different source and thus can be in a different format. Approaches in accordance with various embodiments can take advantage of dynamic transcoding of the supplemental content to provide properly formatted supplemental content through the same stream as the primary content. A custom manifest can be provided to the media player that points to the transcoded supplemental content. At an appropriate break in the playback, the media player can use the manifest to obtain the formatted supplemental content.

Abstract: A system and method are disclosed for estimating a number of unique users (e.g., the number of unique users accessing a website, etc.). In one aspect, one or more transactions occurring during a time frame and a plurality of unauthenticated unique identification records associated with the transactions are identified. The time frame is segmented into disjoint time intervals, and a respective bit pattern is determined for each of the unauthenticated unique identification records. A set of churn patterns is determined based on the bit patterns, and a number of expected unauthenticated unique identification records is determined based on the bit patterns and the churn patterns. A number of unique users is estimated based on the size of the set of churn patterns and the number of expected unauthenticated unique identification records.

Abstract: This disclosure generally relates to systems and methods that facilitate employing a statistical model over a specified time frame divided into a plurality of time intervals for estimating a quantity of unique users from a set of unauthenticated unique identifiers, such as cookies, associated with accesses to one or more servers.