In one embodiment of the present invention, a native resolution analyzer generates a log-magnitude spectrum that elucidates sampling operations that have been performed on a scene. In operation, the native resolution analyzer performs a transform operation of a color component associated with a frame included in the scene to generate a frame spectrum. The native resolution analyzer then normalizes the magnitudes associated with the frame spectrum and logarithmically scales the normalized magnitudes to create a log-magnitude frame spectrum. This two dimensional log-magnitude frame spectrum serves as a frequency signature for the frame. More specifically, patterns in the log-magnitude spectrum reflect re-sampling operations, such as a down-sampling and subsequent up-sampling, that may have been performed on the frame. By analyzing the log-magnitude spectrum, discrepancies between the display resolution of the scene and the lowest resolution with which the scene has been processed may be detected in an automated fashion.

The present disclosure provides a method and system for real time, dynamic, adaptive and non-sequential assembling of one or more mapped fragments of one or more tagged videos. The method includes a step of receiving a set of preference data from pre-defined selection criteria and set of user authentication data. The method includes another step of fetching the one or more tagged videos from the digitally processed repository of videos. The method includes yet another step of fragmenting each tagged video of the one or more tagged videos into the one or more tagged fragments and clustering one or more logical sets of mapped fragments into one or more logical clusters of mapped fragments. The method includes yet another step of assembling at least one of the one or more logical clusters of mapped fragments in a pre-defined order of preference to obtain an assembled video.

The present disclosure provides a method and system for real time, dynamic, adaptive and non-sequential assembling of one or more mapped fragments of one or more tagged videos. The method includes a step of receiving a set of preference data from pre-defined selection criteria and set of user authentication data. The method includes another step of fetching the one or more tagged videos from the digitally processed repository of videos. The method includes yet another step of fragmenting each tagged video of the one or more tagged videos into the one or more tagged fragments and clustering one or more logical sets of mapped fragments into one or more logical clusters of mapped fragments. The method includes yet another step of assembling at least one of the one or more logical clusters of mapped fragments in a pre-defined order of preference to obtain an assembled video.

The following describes techniques to maintain continuity of a live media stream. A media stream includes a first distribution layer with a first set of key frames and a set of delta frames succeeding key frames in the first set of key frames. The media stream also includes a second distribution layer including a second set of key frames, where the second set of key frames contains fewer key frames than the first set of key frames. Using the first and second distribution layers, a client device may subscribe to the media stream with a minimized start-up time and optimized quality of experience among varying complexity of the media content and dynamic network conditions.

The following describes techniques to maintain continuity of a live media stream. A media stream includes a first distribution layer with a first set of key frames and a set of delta frames succeeding key frames in the first set of key frames. The media stream also includes a second distribution layer including a second set of key frames, where the second set of key frames contains fewer key frames than the first set of key frames. Using the first and second distribution layers, a client device may subscribe to the media stream with a minimized start-up time and optimized quality of experience among varying complexity of the media content and dynamic network conditions.

Apparatus and methods for presentation of key frames. In one embodiment, an encoded video file is generated where one or more bits are assigned to key frames and minimizes the number of bits assigned to delta frames. Each key frame may be presented to a user during trick mode operation (e.g., fast forward, rewind, pause, or random seek operation). When the encoded video file is given to a packager, the packager generates a manifest file listing the byte information (byte offset and number of bytes) for each key frame in the encoded video file. When a user inputs a trick play mode command, the packager provides the manifest file to the client device of the user and the client device requests the bytes for the key frames of the video file from the content delivery network.

Apparatus and methods for presentation of key frames. In one embodiment, an encoded video file is generated where one or more bits are assigned to key frames and minimizes the number of bits assigned to delta frames. Each key frame may be presented to a user during trick mode operation (e.g., fast forward, rewind, pause, or random seek operation). When the encoded video file is given to a packager, the packager generates a manifest file listing the byte information (byte offset and number of bytes) for each key frame in the encoded video file. When a user inputs a trick play mode command, the packager provides the manifest file to the client device of the user and the client device requests the bytes for the key frames of the video file from the content delivery network.

Apparatus, systems, articles of manufacture, and methods to identify and credit media using ratios of media characteristics are disclosed herein. Example apparatus to identify media include at least one memory, instructions, and at least one processor to execute the instructions to: determine a first ratio based on a first time interval and a second time interval of a monitored media signal; determine a second ratio based on the second time interval and a third time interval of the monitored media signal; generate a first ratio signature based on the first and second ratios; and initiate transmission of the first ratio signature to a recipient that is to compare the first signature with a second ratio signature to identify the media.

Apparatus, systems, articles of manufacture, and methods to identify and credit media using ratios of media characteristics are disclosed herein. Example apparatus to identify media include at least one memory, instructions, and at least one processor to execute the instructions to: determine a first ratio based on a first time interval and a second time interval of a monitored media signal; determine a second ratio based on the second time interval and a third time interval of the monitored media signal; generate a first ratio signature based on the first and second ratios; and initiate transmission of the first ratio signature to a recipient that is to compare the first signature with a second ratio signature to identify the media.

Aspects of the subject disclosure may include, for example, a device including a processing system including a processor and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations, including monitoring network traffic to determine a transmission control protocol traffic pattern, determining a target video rate from the transmission control protocol traffic pattern, and modifying an over-the-top video delivery service network according to the target video rate. Other embodiments are disclosed.