The key frame is a simple yet effective form of summarizing a long video sequence. The number of key frames used to abstract a shot should be compliant to visual content complexity within the shot and the placement of key frames should represent most salient visual content. Motion is the more salient feature in presenting actions or events in video and, thus, should be the feature to determine ...

The after-inspection of endoscopic surgeries can be a tedious and time consuming task. Physicians have to search for important segments in the video recording of an intervention, which may have a duration of several hours. Automatically selected keyframes can support physicians in this task. The problem is that either too few keyframes are selected, missing some important information, or too ma...

A new approach to automatically detect and track salient regions in generic videos is presented in this paper. Specifically, given a starting video frame, we first detect its salient regions based on extracted color and orientation maps; then we track these regions for the rest of frames within a short period of time. The extracted salient region information could be used to evaluate the frame ...

Robot deployment in open snow-covered environments poses challenges to existing vision-based localization and mapping methods. Limited field of view and over-exposure in regions where snow is present leads to difficulty identifying and tracking features in the environment. The wide variation in scene depth and relative visual saliency of points on the horizon results in clustered features with ...

Choreography is an embodied and complex creative process that often relies on ‘co-imagining’ as a strategy in generating new movement ideas. Technology has historically been used as a tool to augment creative opportunities in choreographic process, with multiple choreographic support tools designed to function as a ‘blank slate’ for choreography. However, few of these tools support creative aut...

In this paper we propose the Keyframe Navigation Tree (KNT) as navigational aid in video for interactive search. The KNT is a hierarchical visualization of keyframes that can compactly represent the content of a video with different levels of details. It can be used as an alternative, or in addition, to a common seeker-bar of a video player. Through a user study with 20 participants we show tha...

This paper proposed and developed hybrid approach for extraction of key-frames from video sequences from stationary camera. This method first uses histogram difference to extract the candidate key frames from the video sequences, later using Background subtraction algorithm (Mixture of Gaussian) was used to fine tune the final key frames from the video sequences. This developed approach show co...