Abstract: A method for providing visual contents to user for monitoring processes in an industrial system. The method comprises receiving plurality of variables associated with processes in industrial system. Further, the method comprises determining presence of one or more critical variables based on one or more parameters, using machine learning model. Furthermore, the method comprises identifying one or more first visual contents by associating the one or more critical variables with plurality of visual contents. Each of the plurality of visual contents represents one or more processes from the plurality of processes and corresponding variables. Moreover, the method comprises identifying one or more second visual contents based on availability of behaviour data of user, using the machine learning model. Thereafter, the method comprises providing the one or more first visual contents and the one or more second visual contents to the user.

Abstract: This invention calculates motion vectors during video encoding for sub-sampled data using a hierarchical search. The motion vector calculation employs a prior original frame as the reference frame rather than a reconstructed frame according to the prior art.

Abstract: This invention calculates motion vectors during video encoding for sub-sampled data using a hierarchical search. The motion vector calculation employs a prior original frame as the reference frame rather than a reconstructed frame according to the prior art.