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 ...

We describe a unique system called ViBE (video browsing environment) for browsing and searching large databases of video sequences. The system first computes the DC sequence for a given MPEG sequence. It then detects and identifies shot boundaries by using the generalized trace. A hierarchical tree structure is constructed for shot comparison and keyframe extraction. In addition to low-level im...

This paper presents an approach to segmenting individual news stories in broadcast news programmes. The approach first performs shot boundary detection and keyframe extraction on the programme. Shots are then clustered into groups based on their colour and temporal similarity. The clustering process is controlled using the groups’ statistics. After clustering, a set of criteria are applied and ...

Video is one of the robust sources of information and the consumption of online and offline videos has reached an unprecedented level in the last few years. A fundamental challenge of extracting information from videos is a viewer has to go through the complete video to understand the context, as opposed to an image where the viewer can extract information from a single frame. In this project, ...

Given a pair of keyframe formations for a group consisting of multiple individuals, we present a spectral-based approach to smoothly transforming a source group formation into a target formation while respecting the clusters of the involved individuals. The proposed method provides an effective means for controlling the macroscopic spatiotemporal arrangement of individuals for applications such...

The increasing availability of short, unstructured video clips on the Web has generated an unprecedented need to organize, index, annotate and retrieve video contents to make them useful to potential viewers. This paper presents a novel, simple, and easy-to-use tool to benchmark different low level features for video summarization based on keyframe extraction. Moreover, it shows the usefulness ...

We present a novel multi-resolution point sample rendering algorithm for keyframe animations. The algorithm accepts triangle meshes of arbitrary topology as input which are animated by specifying different sets of vertices at keyframe positions. A multi-resolution representation consisting of prefiltered point samples and triangles is built to represent the animated mesh at different levels of ...

We consider interpolation between keyframe hierarchies. We impose a set of weak constraints that allows smooth interpolation between two keyframe hierarchies in an animation or, more generally, allows the interpolation in an n parameter family of hierarchies. We use hierarchical triangulations obtained by the Rivara element bisection algorithm and impose a weak compatibility constraint on the s...

Video processing has become a popular research direction in computer vision due to its various applications such as video summarization, action recognition, etc. Recently, deep learning-based methods have achieved impressive results recognition. However, these need process full sequence recognize the action, even though many of frames are similar and non-essential recognizing particular action....