Motion estimation/compensation has been employed in almost all modern video coding standards to effectively reduce temporal redundancy. The encoder complexity is dominated by the motion estimation. In this paper, we present a novel approach to significantly reduce the computation cost of motion estimation in video encoding by employing accelerometers available in many video camcorders and video...

Mr. P. Vijaykumar, Aman Kumar, Sidharth Bhatia Abstract— Motion estimation is the process of determining motion vectors that describe the transformation from one 2D image to another, usually from adjacent frames in a video sequence. Motion estimation is a useful in estimating the motion of any object. Motion estimation has been conventionally used in the application of video encoding but nowada...

the goal of multi-frame super resolution (sr) is to fuse multiple low resolution (lr) images to produce one high resolution (hr) image. the major challenge of classic sr approaches is accurate motion estimation between the frames. to handle this challenge, fuzzy motion estimation method has been proposed that replaces value of each pixel using the weighted averaging all its neighboring pixels i...

A general framework for 2D multiframe and 3D surface-to-surface motion estimation is presented in this paper. By viewing a 2D contour sequence as a pseudo 3D surface, we solve the motion estimation problem for 2D multiframe and 3D surface-to-surface in a general framework, by estimating the motion of a ”surface”. The deformation of a ”surface” is modeled using spline-based motion. This spline-b...

A novel de-interlacing algorithm is proposed to accomplish high quality video format conversion. In the proposed scheme, bi-directional motion estimation (ME) is performed between the same parity fields, i.e., the previous and next fields. The bi-directional motion estimation is composed of initial motion vector estimation, motion vector smoothing using motion vector field segmentation, and mot...

An adaptive modification to the two-bit transform-based low-complexity block motion estimation approach is proposed. Initially, video frames are converted into two-bit representations using the two-bit transform (2BT), and binary block-based motion estimation is performed using these two bit-planes. Modification to the original 2BT-based motion estimation scheme is introduced by conditional loc...

This paper presents a detailed description of the process of motion capture, whereby sensor information from a performer is transformed into an articulated, hierarchical rigid-body object. We describe the gathering of the data, the real-time construction of a virtual skeleton which a director can use for immediate feedback, and the offline processing which produces the articulated object. This ...

Fast and optimal motion estimation method is proposed for electronic image stabilization. First, an approach for macro-block judgment is presented. Before motion vectors calculation, gradient information is analyzed, only useful reference blocks that are indispensable for accurate motion estimation are selected, by which the number of macro-blocks for subsequent calculation is reduced. Second, ...

In this work we study the use of 3D hand poses to recognize first-person hand actions interacting with 3D objects. Towards this goal, we collected RGB-D video sequences of more than 100K frames of 45 daily hand action categories, involving 25 different objects in several hand grasp configurations1. To obtain high quality hand pose annotations from real sequences, we used our own mo-cap system t...

Structure from Motion can be improved by using multicamera systems without overlapping views to provide a large combined field of view. The extrinsic calibration of such camera systems can be computed from local reconstructions using hand-eye calibration techniques. Nevertheless these approaches demand that motion constraints resulting from the rigid coupling of the cameras are satisfied which ...