The seismic imaging industry is increasingly collecting data volumes with a substantial amount of redundancy through acquisition geometries including: wide-azimuth, rich-azimuth and full-azimuth. The increased redundancy improves image quality in areas with complex geology, but requires greater computational power to construct an image because of the additional data. One way to reduce the compu...

In the present or recent times people want to collect their memorable moments with the help of digital devices like. camera. Digital videos becoming grown and found anywhere. So camera plays a vital role in our day to day life. However editing and organizing videos remains difficult for people by different reasons. Also searching takes more time. So people need a better solution for video editi...

Many algorithms have been proposed for detecting video shot boundaries and classifying shot and shot transition types. Here we are using two different methods for comparison, using GIST(Gesture Interpretation using Spatio-Temporal Analysis, where Spatio-Temporal means which has both space as well as time properties like the movement of hand which shows the variation in both space as well as tim...

Shot is often used as basic unit for both analyzing and indexing video. In this paper, we present an algorithm for automatic shot detection. In our algorithm, we use a ‘flash model’ and a ‘cut model’ to deal with the false detection due to flashing lights. A technique for determining the threshold that uses the local window based method combined with reliability verify process is also developed...

The common-focus-point technology CFP describes prestack migration by focusing in two steps: emission and detection. The output of the first focusing step represents a CFP gather. This gather defines a shot record that represents the subsurface response resulting from a focused source wavefield. We propose applying the recursive shot-record, depthmigration algorithm to the CFP gathers of a seis...

Unsupervised learning requires a grouping step that defines which data belong together. A natural way of grouping in images is the segmentation of objects or parts of objects. While pure bottom-up segmentation from static cues is well known to be ambiguous at the object level, the story changes as soon as objects move. In this paper, we present a method that uses long term point trajectories ba...