Motion Estimation for Video Coding: Efficient Algorithms and by Indrajit Chakrabarti, Kota Naga Srinivasarao Batta, Sumit

By Indrajit Chakrabarti, Kota Naga Srinivasarao Batta, Sumit Kumar Chatterjee

The desire of video compression within the smooth age of visible verbal exchange can't be over-emphasized. This monograph will offer helpful info to the postgraduate scholars and researchers who desire to paintings within the area of VLSI layout for video processing functions. during this publication, you will find an in-depth dialogue of a number of movement estimation algorithms and their VLSI implementation as conceived and constructed by means of the authors. It documents an account of study performed concerning speedy 3 step seek, successive removing, one-bit transformation and its potent blend with diamond seek and dynamic pixel truncation innovations. appendices offer a couple of cases of facts of thought via Matlab and Verilog application segments. during this element, the booklet could be regarded as first of its type. The architectures were built with a watch to their applicability in daily low-power hand held home equipment together with video camcorders and smartphones.

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In the same manner, the third step compares SAD’s of nine locations around the winner of the second step and then gives the final motion vector. For the commonly used search range of d1 = d2 = 7, the hierarchical search procedure decreases the number of search locations to 1/9 of the exhaustive approach. The Fast Three Step Search algorithm (FTSS) [2] makes use of the directional information from adjacent previous motion vector and unimodal error surface assumption (UESA). It determines the direction of the current motion vector from the previous motion vector and reduces the computation for checking the candidate motion vector using the UESA.

1 shows the block diagram of the proposed architecture [7]. It consists of three major units, namely internal memory unit, control unit, and process control unit. 38 4 Parallel Architecture for Successive Elimination Block Matching Algorithm Pr_str Search pixels { Clk Clk restart En_col Start C_en Control Unit Current pixel Pr_dis Process Control Unit Clk S_en restart En_sum En_procel En_row Internal Memory unit Row Col Motion vector 1 Block_sum { Search pixel Search pixels Motion vector 2 Fig.

Signal Process. 13(4), 399–412 (1987) 2. 264/AVC video coding standard. IEEE Trans. Circuits Syst. 7(7), 560–576 (2003) 3. : A simple and efficient search algorithm for block-matching motion estimation. IEEE Trans. Circuits Syst. Video Technol. 7(2), 429–433 (1997) 4. : Digital Video Processing. , New York (1995) 5. : Video Coding, An Introduction to Standard Codecs. The Institute of Electrical Engineers, London (1999). Chaps. 2, 5, 6, 7 and 8. 6. : A new three-step search algorithm for block motion estimation.

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