Video generation method based on user’s tendency of viewpoint selection for multi-view video contents
PubDate: March 2014
Teams: Nagoya University
Writers: Yuki Muramatsu；Takatsugu Hirayama；Kenji Mase
Abstract
A multi-view video makes it possible for users to watch video contents, for example, live concerts or sports events, more freely from various viewpoints. However, the users need to select a camera that captures a scene from their own preferred viewpoint at each event. In this paper, we propose a video generation method based on the user’s View Tendency, which is a tendency of viewpoint selection according to the user-dependent interest for multi-view video content. The proposed method learns the View Tendency by Support Vector Machine (SVM) using several measures such as the geometric features of an object. Then, this method estimates the consistency of each viewpoint with the learned View Tendency and integrates the estimation results to obtain a temporal sequence of the viewpoints. The proposed method enables the users to reduce the burden of viewpoint selection and to watch the viewpoint sequence that reflects the interest as viewing assistance for the multi-view video content.
