Microsoft Technology Licensing, LLC

Yi Linda Chan

David Hendler Sloo

Ronald Alan Morris

Charles J Migos

Jonathan L Conradt

Keith Okabe

Maneli Noorkami

Systems and related methods for detecting a scene in video content are provided. In one example, a scene detection program identifies a plurality of shots in the video content and selects a target shot. The program builds a forward window including the target shot and having shots that are temporally ahead of the target shot, and a rearward window having shots that are temporally behind the target shot. For each of the shots in the forward window the program determines a dissimilarity between a selected shot in forward window and each of the other shots in the rearward window. If one or more of the dissimilarities is less than a scene boundary threshold, the program determines that the scene does not begin at the target shot. If none of the dissimilarities is less than the scene boundary threshold, the program determines that the scene begins at the target shot.

Video scene detection

A list navigation module (LNM) is described that allows a user to navigate among a filtered list of items, yet, in addition, also discover items within an original list items. In operation, a user inputs a search selection, which prompts the LNM to cull a filtered list of items from the original set of items. When the user enters navigation selections of a first kind, the LNM advances to only items in the filtered list. When the user enters navigation selections of a second kind, the LNM advances to items in the unfiltered original list. Further, when the user attempts to navigate past an end of the presented filtered list, the LNM advances to items in the unfiltered original list. The LNM can provide a visual indicator which conveys that one or more items in the original list of items do not appear in the filtered list of items.

Strategies for navigating through a list

An item discovery module (IDM) is described that allows a user to find one or more desired items within a store of candidate items. In operation, the user enters a search selection, upon which the IDM determines a collection of matching items. The IDM groups the matching items into one or more buckets, each bucket including one or more items. The IDM then selects representative items for the respective buckets and presents the representative items to the user. The representative items assist the user in converging on the one or more desired items. Namely, the user may enter another search selection which targets an identified bucket, upon which the above-described procedure is repeated.

Growing community of inventors

San Jose, CA, United States of America

Yi Linda Chan