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A System and Method to Correlate Online Social Posts to Related Recorded Streaming Media

IP.com Disclosure Number: IPCOM000241339D
Publication Date: 2015-Apr-17
Document File: 2 page(s) / 89K

Publishing Venue

The IP.com Prior Art Database

Abstract

Disclosed is a system to reuse and correlate people's online social activities (i.e. social media posts from a number of points of entry) associated with a live event to the comments/votes of a recording of the event when published at a third-party video or audio streaming site. The system enables users to see social posts about a stream that are associated with a particular point in time in that stream.

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A System and Method to Correlate Online Social Posts to Related Recorded Streaming Media

Users are increasingly using streaming media to consume video content on web-based services. Similarly, many people use audio streaming services for listening to music. Each of these services offer various forms of user comment or feedback capabilities integrated into the interface (e.g., a user can comment on a song or video at minute 2:03 in the stream).

However, users often make comments about the media stream on other channels, such as social media. These side-channel comments are difficult to correlate with a point in time in a stream. For example, it is easy to query a social media channel to generate a list of comments about a particular movie. However, it is not easy to know with which portion or timestamp of the movie stream the comment was associated.

The number of comments and metadata associated with a stream is important. Videos

on social sites often do not have many comments or likes, even when thousands of viewers are counted. Yet, the lack of positive comments or likes of a video can affect the digital presence of the video.

A method is needed to close this gap in the art in the area of associating side-channel social posts about a stream with a particular point in time in that stream.

The novel contribution is a system to reuse/correlate people's online social activities
(i.e. social media posts from a number of points of entry) associated with a live event to the comments/votes of the recording of the event when published at a hosting site. The system analyzes the online social activities and records the related time window within the video recording in the activity (posts/votes for). Further, while users are watching

the video recording, the system issues a higher priority to the relevant comments for the time window that is currently displaying; those comments appear alone or at the top of a list of comments.

The core novel attributes of the system are the abilities to:


• Leverage/correlate external social network posts created during a live event toward comments or votes of the corresponding multimedia recording of the event


• Leverage/correlate external social network posts related to a replayed stream of a live event via image/video/audio analysis


• Leverage/correlate generic, broad, online social network posts about an audio or video to specifi...