Abstract: Various embodiments of systems, computer program products, and methods to provide centralized taxation evaluation are described herein. In an aspect, a request is received to determine taxation information of a user corresponding to a time interval. Baseline data corresponding to the taxation information is automatically obtained from sources associated with the time interval and carried forward taxation information. Further, the taxation information including liability owed by the user and/or refund owed to the user based on the obtained baseline data, carried forward taxation information and corresponding taxation rules is determined. The determined taxation information is provided to the user for taxation evaluation using a monitor widget displayed on a display device of a computing system.

Abstract: A cascade object classification structure for classifying one or more objects in an image is provided. The cascade object classification structure includes a plurality of nodes arranged in one or more layers. Each layer includes at least one parent node and each subsequent layer includes at least two child nodes. A parent node in a layer is operatively linked to two child nodes in a subsequent layer. Further, at least one child node in one of the subsequent layers is operatively linked to two or more parent nodes in a preceding layer. Each node includes classifiers for classifying the objects as a positive object and a negative object. The positive object and the negative object classified by the parent node in each layer are further classified by one or more operatively linked child nodes in the subsequent layer.

Abstract: Systems and methods for decoding of compressed video enable the storing of compressed video data in a memory shared by a group of symmetric multiple processors. The video includes a plurality of frames and each of the plurality of frames has one or more slices. Such one or more slices are assigned, by a main processor, of the group of symmetric multiple processors to the group of multiple processors. The one or more assigned slices are partially decoded by the one or more of the group of multiple processors and the partially decoded one or more slices are stored in the memory. Subsequently, each of the plurality of frames having at least one partially decoded slice is assigned to one or more of the group of multiple processors. In a successive progression, the group of multiple processors in combination fully decodes each of the plurality of frames.