A New Diamond Search Algorithm for Adaptive Pixel Based Motion Estimation in Video Coding

Abstract

We are intended to propose a video compression based on Modified Pixel-Based Motion Estimation (MPME) motion estimation technique is conducted on a pixel-by-pixel basis and the predicted P-frame has been developed using motion estimation technique. The residual is calculated with the original P-frame and the predicted P frame, and the residual is passed into next phase. After the motion vector estimation each frame is encoded by using JPEG-LS encoder. Next the encoded values of compressed video frames are decoded by using the decoding technique and for that JPEG-LS decoder is used.The proposed video compression using MPME will be implemented in the platform MATLAB and the performance of the video codec procedure is assessed by contrasting the consequence of proposed system with the conventional motion estimation algorithms.

Masking of temporal activity for video quality control, measurement and assessment

“…BMA is a process to identify the movement of an object with the two consecutive frames; 13 it is also considered to be the most widely used method of motion detection among the researchers in the field of video coding. 11,14 A macro-block that holds a certain object in an image will be slightly moved in the next frame due to the object’s motion. It searches a macro-block of the past frame that holds a similarity with the one in the next or upcoming frame.…”

“…6,8–10 Temporal activity is an important feature in video sequence and it is imperative to know its quantity to apply appropriate compression algorithms. 11–15 Discrete cosine transform (DCT) is also used in the literature 16–18 to convert an incoming frame into spatial domain from where the information is quantized. Motion vectors (MVs) are required of each dual sequence frame to determine individual frame quality.…”