Abstract: Various methods are provided for processing images. One example method may include computing a starting point and an ending point for an image seam as defined by an intersection of a rectangle bounding a first image and a rectangle bounding a second image. The method may also include determining whether the starting point and the ending point for the image seam are final points based on a determined mask region. The method may also include refining the starting point and the ending point by using an intersection of a mask image of the first image and a mask image of the second image in an instance in which it is determined that the starting point and the ending point are not final points. The method may also include computing a seam direction and one or more seam points using the starting point and the ending point.

Abstract: Various methods are provided for processing images. One example method may include computing a starting point and an ending point for an image seam as defined by an intersection of a rectangle bounding a first image and a rectangle bounding a second image. The method may also include determining whether the starting point and the ending point for the image seam are final points based on a determined mask region. The method may also include refining the starting point and the ending point by using an intersection of a mask image of the first image and a mask image of the second image in an instance in which it is determined that the starting point and the ending point are not final points. The method may also include computing a seam direction and one or more seam points using the starting point and the ending point.

Abstract: Networks carry various kinds of traffic and ISPs are keen to analyze the traffic so as to be able to support QoS on the distinct traffic flows. Traffic can be broadly categorized into two types: plain traffic and encrypted traffic. Further, each of these traffic types is based on either a standard protocol or a proprietary protocol. While it is fairly straightforward to analyze traffic that are based on standard protocols, it is extremely difficult to analyze encrypted traffic based on proprietary protocols. A system for Skype traffic detection involves analyzing encrypted traffic based on proprietary peer to peer protocol. The proposed approach is based on building Skype traffic models and using the same to determine Skype traffic in the network traffic.