Effective Sharing of Digital Multimedia Content Viewing History

Self-Organization and Aggregation of Undisclosed Knowledge

“…R start (t) is sent when a play button is pressed, fast forward button is released, or slide bar is released after sliding; R stop (t) is sent when a stop button is pressed, fast forward button is pressed, or slide bar is moved first. The server stores R start (t) and R stop (t) in a RDB , according to the method proposed in Ishikawa et al (2007). Furthermore, the server provides the following information to new viewers of the content.…”

“…Ishikawa et al (2007) proposed a system where online viewers of multimedia content transmit descriptions of where they viewed and skipped, as viewing history. The viewing history is recorded and processed on a server on the network (refer to Fig.…”

“…To handle vast quantities of data online, Ishikawa et al (2007) proposed to record data on a relational database (RDB). If viewing behavior data of all users is recorded completely in a database, an accurate histogram can be obtained.…”

“…Accumulation of multimedia content on the Internet increases the need for time-efficient viewing of the content and the possibility of compiling information on many users' viewing experiences. Under these circumstances, some methods have been proposed (e.g., Yu et al (2003); Ishikawa et al (2007)) that presents, in the Internet environment, a kind of summary of viewing records of many viewers of a certain multimedia content. The summary is expected to show that some part is seen by many users, but some other parts are rarely seen.…”

“…However, such methods cannot be applied to multi-media content because in their expression, the meaning is implicit to the objects in them which are difficult to recognize. The technique we propose in this chapter is to provide summary of viewing history of users who watched a particular multimedia content to users who are going to watch the content (Ishikawa et al (2007)). To provide the summary of viewing history, the proposed technique aggregates users' behavior of content viewing.…”