Papers by Chaitanya Ghone
Video conferencing and other real-time multimedia traffic poses challenge for transmission over c... more Video conferencing and other real-time multimedia traffic poses challenge for transmission over constant bandwidth network due to high instantaneous bandwidth generated by intra-predicted frames (I-frame). This paper proposes a novel solution for significant reduction of peak instantaneous bandwidth requirements using a new type of frame called delayed duplicate intra frames (DDI frame) in addition to the frame types defined in various video coding standards. DDI-frames is a redundant encoding and transmission scheme which uses tools like - long term reference and Supplemental Enhancement Information message, defined in various video coding standards. By intelligent use of these tools and small bitrate overhead on real-time/non-real-time transmission channels the peak instantaneous bandwidth requirement can be spread over longer duration. The proposed method is applicable to multiple video format (e.g. HEVC, H.264, VC1 etc) as well as variety of use-cases such as video conferencing, video streaming etc. The scheme additionally helps achieve better error resiliency and concealment purposes in case of packet drop. The scheme also does not have the quality flicker problem present in alternate solutions.
2017 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia), 2017
Deep Learning techniques like Convolutional Neural Networks (CNN) are getting popular for image c... more Deep Learning techniques like Convolutional Neural Networks (CNN) are getting popular for image classification with broad usage spanning across automotive, industrial, medicine, robotics etc. Typical CNN network consists of multiple layers of 2D convolutions, non-linearity, spatial pooling and fully connected layer, with 2D convolutions constituting more than 90% of total computations. The Fast Fourier Transform (FFT) based approach for convolution is promising in theory, but not used in practice due to growth in memory sizing of coefficients storage. The paper proposes new frequency domain algorithm which avoids memory size growth compared to traditional FFT based approach for performing 2D convolution. The proposed algorithm performs Fourier Transform (FT) of coefficients On-The-Fly (OTF) instead of offline calculation on PC. The proposed algorithm consists of expands, OTF-FT and pruning blocks that do efficient 2D convolution in the frequency domain. The proposed algorithm is com...
2015 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT), 2015
Video conferencing and other real-time multimedia traffic poses challenge for transmission over c... more Video conferencing and other real-time multimedia traffic poses challenge for transmission over constant bandwidth network due to high instantaneous bandwidth generated by intra-predicted frames (I-frame). This paper proposes a novel solution for significant reduction of peak instantaneous bandwidth requirements using a new type of frame called delayed duplicate intra frames (DDI frame) in addition to the frame types defined in various video coding standards. DDI-frames is a redundant encoding and transmission scheme which uses tools like - long term reference and Supplemental Enhancement Information message, defined in various video coding standards. By intelligent use of these tools and small bitrate overhead on real-time/non-real-time transmission channels the peak instantaneous bandwidth requirement can be spread over longer duration. The proposed method is applicable to multiple video format (e.g. HEVC, H.264, VC1 etc) as well as variety of use-cases such as video conferencing, video streaming etc. The scheme additionally helps achieve better error resiliency and concealment purposes in case of packet drop. The scheme also does not have the quality flicker problem present in alternate solutions.
Electronic Imaging, 2017
With cars driving autonomously on roads, functional safety assumes critical importance to avoid h... more With cars driving autonomously on roads, functional safety assumes critical importance to avoid hazardous situations for humans in the car and on the road. ISO 26262 defines Automotive Safety Integration Level (ASIL) with level QM (Least) to ASIL-D (Highest) based on severity and probability of defect causing harm to human life. This paper explores functional safety requirements and solutions for software systems in autonomous cars in four broad aspects. The first aspect covers usage of redundancy at various levels to ensure the failure of one system does not affect the overall operation of the car. It explores the usage of redundancy via multiple sensors and diverse processing of data to arrive at functionally safe results. Based on the redundancy requirements, in the second aspect, an HW (SoC) and SW architecture is proposed which can help meet these requirements. It explores the definition of SW framework, task scheduling, and tools usage to ensure systematic faults are prevented at the development stage. Autonomous driving systems will be complex and expecting all software modules comply with the highest functional safety level may not be feasible. The third aspect explores the usage of freedom from interference (FFI) via HW and SW mechanisms like Firewalls, MMU to allow safe and non-safe subsystems to co-exist and operate according to their specification. The final aspect covers usage of SW and HW diagnostics to monitor, detect, and correct random faults found at run-time in HW modules. It explores the usage of diagnostics features like ECC, CRC, and BIST to help detect and avoid runtime failures.
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Papers by Chaitanya Ghone