Mithilesh Kumar Jha

Bio: Mithilesh Kumar Jha is an academic researcher from Indian Institute of Technology Delhi. The author has contributed to research in topics: Video compression picture types & Image compression. The author has an hindex of 3, co-authored 7 publications receiving 25 citations. Previous affiliations of Mithilesh Kumar Jha include STMicroelectronics.

Automatic baud rate determination

Abstract: The present invention provides an electronic device consisting of a Universal Asynchronous Receiver Transmitter (UART) having its transmit data output connected to a triggered timer and a computing means that computes the transmitted baud rate from the time measured by the timer for transmitting the known data byte.

Video Compression Scheme Using DEMD Based Texture Synthesis

Abstract: In this paper we present a video coding scheme based on texture synthesis through Directional Empirical Mode Decomposition (DEMD). In this scheme P and B-frames of the video sequence are decomposed and parametrically coded with the help of DEMD algorithm, while I-frames are coded with the help of H.264. All P and B frames are decomposed into Intrinsic Mode Function (IMF) image and its residue. Only the first level IMF image for P and B frames are coded. At decoder stage subsequent IMF images are synthesized with the help of correlation search. Wavelet decomposition is performed over residual image and energy level at the HH band is used as a decision criterion for number of decomposition to be performed for optimum synthesis. The experimental result demonstrates the effectiveness of the algorithm in multi-resolution parametric modeling of image data which can be efficiently coded to achieve significant compression with acceptable quality. This scheme also enables to perform scalable coding of IMF parameters to achieve higher compression with perceptual quality.

DEMD-based video coding for textured videos in an H.264/MPEG framework

Abstract: This paper proposes a DEMD-based textured video coding scheme for efficient representation of textured data compatible with an H.264/MPEG framework. We encode the DEMD residue image of all non-I frames (P and B frames in H.264/MPEG) instead of the original frame. All non-I frames are synthesized using correlation search and patch-based multi-level IMF synthesis from the DEMD representation of key frames (I frames, in the H.264/MPEG framework) and the DEMD residual image of the frame being synthesized. Experimental results show that the proposed scheme provides better compression results as compared to MPEG/H.264 with acceptable reconstruction quality.

New context of compression problem and approach to solution: a survey of the literature

Abstract: The new generation multimedia applications such as ultra-high definition TV, 3D video and cloud storage keeps the compression research relevant even post to the advent of the state-of-art standard HEVC (High Efficiency Video Coding) codec. The continued studies on human visual system suggest that a perceptually acceptable reconstruction with reduced bandwidth requirements may be more acceptable and commercially viable solution rather than a bit accurate reconstruction for a variety of video and graphics applications. One way to achieve compression beyond that achieved by the advanced codec like HEVC is to sample the input data at a lower rate than the Nyquist rate, exploit the sparsity and perceptual redundancy in the content using advanced signal processing and computer vision tools and represents it using a spatio-temporal model. This paper contains an exhaustive review of the new context of video compression methods along with their limitations and open issues.

Restricted affine motion compensation and estimation in video coding with particle filtering and importance sampling: a multi-resolution approach

Abstract: In this paper, we propose a multi-resolution affine block-based tracker for motion estimation and compensation, compatible with existing video coding standards such as H.264 and HEVC. We propose three modifications to traditional motion compensation techniques in video coding standards such as H.264 and HEVC. First, we replace traditional search methods with an efficient particle filtering-based method, which incorporates information from both spatial and temporal continuity. Second, we use a higher order linear model in place of the traditional translation motion model in these standards to efficiently represent complex motions such as rotation and zoom. Third, we propose a multi-resolution framework that enables efficient parameter estimation. Results of extensive experimentation show reduced residual energy and better Peak Signal-to-Noise Ratio (PSNR, hereafter) as compared to H.264/HEVC for instance, especially in regions of complex motion such as zooming and rotation.

Video Compressed Sensing framework for Wireless Multimedia Sensor Networks using a combination of multiple matrices

Abstract: Display Omitted Implemented DWT-DCT hybrid based video compressive sensing framework.Proposed and implemented two memory efficient measurement matrices for WMSN.Proposed matrices yields similar (or better) PSNR compared to Gaussian matrix.Storage and energy complexity is less for proposed matrices compared to Gaussian matrix. Wireless multimedia sensor networks (WMSNs) have been used for sensitive applications such as video surveillance and monitoring applications. In a WMSN, storage and transmission become complicated phenomena that can be simplified by the use of compressed sensing, which asserts that sparse signals can be reconstructed from very few measurements. In this paper, memory-efficient measurement matrices are proposed for a discrete wavelet transform (DWT)-discrete cosine transform (DCT) hybrid approach based video compressed sensing (VCS). The performance of the framework is evaluated in terms of PSNR, storage complexity, transmission energy and delay. The results show that the proposed matrices yield similar or better PSNR and consume less memory for generating the matrix when compared with a Gaussian matrix. The DWT-DCT based VCS yields better quality and compression when compared with DCT and DWT approaches. The transmission energy is 50% less and the average delay is 52% less when compared to raw frame transmission.

Three-dimensional empirical mode decomposition (TEMD)

Abstract: Empirical mode decomposition (EMD) has emerged as a powerful tool for signal/image processing. However, extending the EMD to its three-dimensional (3D) version remains a challenging task due to the enormous computational effort. In this paper, we propose a fast 3D EMD (TEMD) to decompose a volume into several 3D intrinsic mode functions (TIMFs). Two strategies are introduced to accelerate the TEMD. On the one hand, the distances among extrema, which can be used to identify the filter sizes, are effectively calculated by 3D Delaunay triangulation (DT). On the other hand, separable filters are adopted to generate the envelopes. Rather than performing a 3D filter, we separately apply a one-dimensional (1D) filter three times to obtain the same results with much less computational requirements. Simulation results demonstrate that the proposed TEMD method significantly speeds up the calculation and yields improved decomposition performance on synthetic and real world data. HighlightsPropose a fast EMD method for dealing with 3D data.Determine filter sizes by 3D Delaunay triangulation.Generate all of the envelopes by separable filters.Validate effectiveness of the proposed TEMD by simulations.

Protocol independent bridge

Abstract: A wireless bridge includes a first universal asynchronous receiver/transmitter (UART) for coupling to a serial bus that receives data packets. A protocol independent module has a timer set to a desired time to detect a start and/or an end of a data packet received from the serial bus. A wireless transceiver is coupled to the universal asynchronous receiver/transmitter for sending and receiving data packets.

Slave bus subscriber for a serial data bus

Abstract: The invention relates to a slave bus subscriber for a serial data bus with a master bus subscriber, wherein the slave subscriber recognizes the bit rate of a data packet received over the data bus, whose header has a sync break field, a sync field and an ID field, with the help of the header of the data packet in such a manner that the periods between falling edges of bits having known bit intervals at least of the sync field and of the sync break field are evaluated and the bit rate is determined from the evaluated periods.

Perception-oriented Video Coding based on Image Analysis and Completion: A Review

Abstract: Perception-oriented video coding based on image analysis and completion (IAC) has received increasing attention over recent years. Several approaches have been proposed that follow diverging strategies: from full compatibility to hybrid block transform coding to alternative codec designs. In this paper, we review the most significant issues in IAC coding and their relevance for future codec designs. The most promising pathways will be analyzed along with limitations and open issues. The challenges in IACbased video coding will be summarized using methods developed by the authors and others for block-based and region-based IAC coding.