Abstract: Systems and methods are described which allow a more accurate determination of relationships among videos in terms of their subject matter, context and social preferences. Rather than relying on user-specified metadata to relate videos, the present embodiments use social affinity to determine related subject matter. The process begins with a user accessing any particular video that has a unique identifier. Once the video is accessed, a list of users is found, who have added the video to their collection. From all these users, a set of all the videos that appear in their collections is compiled. Based on this information, a subset of videos which appear in a significant number of collections, can be deemed to be related to the selected video. This subset of related videos can further be analyzed to verify the metadata of the selected video and to provide suggestions and/or corrections regarding that metadata.

Abstract: A video-based system is described, which provides video link navigation between the various videos uploaded to the system. The video link navigation tool can be a graphically displayed interface that links multiple video nodes to one another and allows users to navigate the videos represented by the nodes. In various embodiments, the video link is a system representation of similarities in content between multiple videos, videos belonging to a same story or sequence, video comments submitted and published in response to a particular video and other forms of video relationships. The video nodes can be displayed as graphical thumbnails on a visual interface and can have various sizes, positions and/or color-codings which indicate the types of relations and other information regarding the videos.

Abstract: A video-based networking system is described, having a ranking system for publishers of videos and for reviewers of videos. The members of the network can publish their videos, view videos posted by others, and provide a review of videos posted by others. The videos may be rated and reviewed. The members also may be ranked as a publisher and as a reviewer by other members of the network. The ranking of publishers and reviewers can be based on the average value of ratings and the number of views of a video or a review. The ranking algorithm can be a moving-average mathematical function. In some embodiments the video based networking system comprises a video based social networking system.