Abstract: A system and method for dynamically optimizing content delivery in a wireless communication network. The method comprises receiving, at a transceiver [208A], a request for delivery of a content from at least one user device [202]. A manifest module [208B] determines one or more first parameters for the at least one user device [202] and compares one or more parameters of the at least one user device [202] with one or more second parameters of the at least one cohort. The manifest module [208B] dynamically identifies (or generates) a virtual manifest associated with the at least one cohort (or the at least one user device [202]) based on the comparison. A segmenter module [208C] automatically extracts a stream of data associated with the virtual manifest. The transceiver [208A] delivers the content to the at least one user device [202] based on the extracted stream of data.

Abstract: The present disclosure provides methods and systems for real-time delivery of a target content in a streaming content. The method comprising receiving a request for streaming content from at least one user device [102]. The request comprises user segment information associated with the at least one user device. Next, the method comprises dynamically fetching at least one target content for the at least one user device [102] based on the user segment information. Next, the method comprises creating a customized virtual manifest by inserting the at least one target content in the requested streaming content in real-time. Next, the method comprises sending the customized virtual manifest to the at least one user device [102] based on the user segment information. Thereafter, the method comprises delivering the at least one target content in the requested streaming content to the at least one user device [102] based on the customized virtual manifest.

Abstract: A system and method for enhancing video resolution is disclosed. A Low-Resolution (LR) video including a plurality of LR images is received. The LR video is converted to a High-Resolution (HR) video by transforming at least one LR image to a HR image. Pixel unshuffle is performed to rearrange image portions in the LR image to generate a set of downsampled sub-images. Further, shallow features are extracted from the set of downsampled sub-image. The shallow features extracted corresponding to the set of downsampled sub-images configure a feature space. The shallow features are processed using a series of inverted residual blocks to generate enhanced features corresponding to the set of downsampled sub-images. The enhanced features are mapped to a high resolution feature space using pixel shuffle to generate the HR image corresponding to the LR image.

Abstract: The embodiments of the present invention disclose synchronization of an online gaming environment with video streaming of at least one live event. A gaming application is configured to be executed on each of a plurality of user devices, simultaneously with the video being streamed. At least one instantaneous question is generated based on at least one action of the live event. Both the video and the instantaneous question are displayed in-sync with the live event video. The server also synchronizes an answer of the at least one instantaneous question with a next instantaneous question and also with the video being streamed, such that the answer, the video, and the next instantaneous question are displayed in-sync on at least one of the plurality of user devices.

Abstract: Various embodiments provide a method and a system for facilitating content recommendation to content viewers. The method performed by the system includes accessing content viewer behavior data associated with a content viewer. The method includes classifying the content viewer in a viewer cohort based on the content viewer behavior data. The viewer cohort includes a plurality of related content viewers. The method includes accessing and aggregating content viewer interaction data from the plurality of related content viewers. The content viewer interaction data includes a popularity index. The method includes computing via a machine learning model, a performance metric for each recommended content item based on the content viewer interaction data. The method includes determining an optimal content sequence for displaying the plurality of recommended content items based on the performance metrics for the plurality of recommended content items.

Abstract: A method (900) and system (150) for delivering media content to users is disclosed. A request for a playback URL in relation to a content title is received from an electronic device (104) associated with a user (102). At least a network Autonomous System Number (ASN), an IP address and a content ID are extracted from the request. A location of the user (102) is determined based on the network ASN and the IP address. Relevant Content Delivery Networks (CDNs) are identified based on the location and the content ID. An optimal CDN is selected based on at least one performance statistic and at least one predefined routing policy. The playback URL is provided to the electronic device (104) in response to the request for the playback URL. The playback URL is configured to facilitate display of content associated with the content title on the electronic device (104).

Abstract: A system and method for dynamically optimizing content delivery in a wireless communication network. The method comprises receiving, at a transceiver [208A], a request for delivery of a content from at least one user device [202]. A manifest module [208B] determines one or more first parameters for the at least one user device [202] and compares one or more parameters of the at least one user device [202] with one or more second parameters of the at least one cohort. The manifest module [208B] dynamically identifies (or generates) a virtual manifest associated with the at least one cohort (or the at least one user device [202]) based on the comparison. A segmenter module [208C] automatically extracts a stream of data associated with the virtual manifest. The transceiver [208A] delivers the content to the at least one user device [202] based on the extracted stream of data.