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Flag of India Kharagpur, India
Member since December 4, 2014
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My self vijay, working on image and video processing. I have 7 years experience on matlab/c/c++. Presently working on HEVC, DVC codecs and machine learning.
$10 USD/hr
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  • image of catylucy Yazılım Üret $60.00 USD

    “Vijay is an expert on Matlab, Image and Video processing. He is absolutely reliable and professional person. You can easily communicate with him anytime in every step of your project. He gives feedbacks in every day about the project. He finished the job at desired time. Moreover, he is the most talented person who I know in Video Processing.”


Research scholar

Sep 2009

Ph.D student



2007 - 2009 (2 years)


IEEE ICMT best paper award (2011)


Best paper award in ICMT 2011


Side Information Refinement Scheme in Transform Domain Distributed Video Coding

In this paper, we propose the Side Information refinement scheme for the Transform Domain Wyner-Ziv video codec. As the codec requires huge bit rate to decode the DC band using the initial motion compensated temporal interpolated Side Information, we propose the scheme, by forming the layers with in the DC band and Side Information refinement is applied after decoding coefficients in each layer.

Adaptive fast Motion Estimation based on probabilistic prediction and Object Grouping.

Conventional fast search motion estimation algorithms use a heuristically based approach to determine their search window. By making use of temporal correlation between the current frame and the past frame and spatial correlation between the neighborhood blocks, the proposed algorithm defines a search window on the basis of probabilistic prediction. Usage of Object Grouping results in an improved performance, when combined with probabilistic prediction.


Distributed video coding (DVC) is an emerging coding paradigm, aiming at low complexity encoders. This paper proposes a new scheme for transform domain Wyner-Ziv (WZ) video codec, where the key and WZ frames are encoded in multiple layers. The layers of the each frame are generated by sub sampling the 4x4 blocks in the spatial domain. After decoding each layer, side information (SI) refinement process is employed to improve the quality of SI to decode the next WZ layer.

Key frame quantisation error reduction in distributed video coding

Proposed is a post-processing scheme to reduce the quantisation noise of the key frames by using the decoded neighbour Wyner-Ziv frames in a distributed video coding framework. The proposed scheme results in a quality gain of up to 2 dB for the key frames and improves the overall rate-distortion performance of the codec without adding any additional complexity at the encoder. [login to view URL]

Decoder driven multi resolution SI refinements and mode decisions for improved RD performance in DVC

Mode decision is one of the factor affecting the RD performance due to the varying statistics of the sequence in the DVC. In this paper, we propose to introduce coding modes and the Side Information (SI) refinement modes at the decoder in the pixel domain multi resolution refinement(MRR) Wyner-Ziv scheme. During the decoding process, the mode decision of the current decoding layer of the block is based on the information from the previous decoded layers of the block and the updated SI.

Unidirectional Encoder Rate Control Scheme for Transform Domain Distributed Video Coding

The encoder is complexity constrained, accurate estimation of number of bits to decode each bit plane is indeed difficult at the encoder. In under-estimation , correction of errors in the decoded bit planes, by utilizing the available information, is one of the important tasks at the decoder. The contributions of proposed scheme are adaptive rate estimation, considering the dependency across WZ frames, motion adaptive reconstruction and SI refinement after decoding all the frames in the GOP.


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