Samsung Electronics Co., Ltd.

Raj Narayana Gadde

Sri Nitchith Akula

Amith Dsouza

Anubhav Singh

Woongil Choi

Kwangpyo Choi

Nishant Sharma

Chirag Mahesh Kumar Pujara

Ramkumaar Kk

Akhil Konda

Sirish Kumar Pasupuleti

Elena Alshina

Do Hun Kim

Kwang-pyo Choi

Woong-il Choi

Kang Eun Lee

Chang Yong Son

Chandra Kumar Ramasamy

Vasanthakumar Rajagopal

Yathish Reddy

Addanki Sankara Rao

Pravin Ramachandran Nair

Avinab Saha

Ashok Vishnoi

Narasinga Rao Miniskar

Sandeep Raju

Chirag Pujara

Ramkumaar Kovil Kanthadai

A method and an electronic device for performing an AI based zoom of an image in an electronic device are provided. The method includes receiving the image; obtaining, through a pixel domain neural network (NN) block, a first set of feature maps of the image based on pixels of the image; obtaining, through a frequency domain NN block, a second set of feature maps of the image based on frequencies of the image; and obtaining, through a joint refinement NN block, a final image with a resolution higher than a resolution of the image, based on the first set of feature maps and the second set of feature maps.

Method and electronic device for performing AI based zoom of image

A method may comprise detecting at least one motion of the electronic device while capturing a plurality of media frames, determining a type of the at least one motion of the electronic device while capturing the plurality of media frames, determining a variation in the type of the at least one motion of the electronic device over a pre-determined period of time, selecting at least one stabilization procedure from a plurality of stabilization procedures and a frame fusion procedure from a plurality of frame fusion procedures based on the type of the at least one motion of the electronic device and the variation in the type of the at least one motion of the electronic device, and stabilizing, after the capturing of the plurality of media frames, the plurality of media frames based on the at least one selected stabilization procedure and the selected frame fusion procedure.

Full frame media stabilization in electronic devices

The present disclosure disclose method and apparatus for determining memory requirement for processing a DNN model on a device, a method includes receiving a DNN model for an input, wherein the DNN model includes a plurality of processing layers. The method includes generating a network graph of the DNN model. The method includes creating a colored network graph of the DNN model based on the identified execution order of the plurality of processing layers. The colored network graph indicates assignment of at least one memory buffer for storing at least one output of at least one processing layer. The method includes determining at least one buffer reuse overlap possibility across the plurality of processing layers. Based on the determined at least one buffer reuse overlap possibility, the method includes determining and assigning the memory required for processing the DNN model.

Method and apparatus for determining memory requirement in a network

Provided are a method and an apparatus for determining an optimal rotation angle during compression of a spherical multimedia content where the processor may receive first multimedia content corresponding to the spherical multimedia content, generate a plurality of second multimedia contents based on the first multimedia content by rotating the first multimedia content to a plurality of rotation angles, perform an edge analysis on each of the plurality of the second multimedia contents, identify the number of edges aligned to one of a vertical axis or a horizontal axis based on the edge analysis, select second multimedia content with the maximum number of edges, and determine an optimal rotation angle.

Methods and apparatus for determining rotation angle for spherical multimedia content

Provided are methods and apparatus for determining an adjustment parameter during encoding of a spherical multimedia content which comprises finding the region of maximum concentrated energy is concentrated in the generated energy map of the spherical multimedia content, measuring the width of the maximum concentrated energy region in the generated energy map, and deriving optimal adjustment parameter from the width of the maximum concentrated energy region in the generated energy map.

Methods and apparatus for determining adjustment parameter during encoding of spherical multimedia content

Accordingly embodiments herein disclose a method for producing 360 degree image content on a rectangular projection. The method includes detecting whether at least one discontinuous boundary is present in the 360-degree image content, wherein the at least one discontinuous boundary is detected using the packing of one or more projection segments. Further, the method includes obtaining one or more reconstructed blocks from the 360-degree image content. The reconstructed blocks are generated from the 360 degree image content. Further, the method includes performing one of enabling at least one in-loop filtering function on the one or more reconstructed blocks of the 360 degree image content when the at least one of image content discontinuous boundary is not present and disabling at least one in-loop filtering function on the one or more reconstructed blocks of the 360 degree image content located around the at least one discontinuous boundary.

Method and apparatus for producing 360 degree image content on rectangular projection by selectively applying in-loop filter

A method and apparatus for processing audio data are provided. When an encoded audio bitstream sampled at a sampling frequency is received, a resampling ratio for processing the encoded audio bitstream is computed. If the the resampling ratio is within the resampling threshold range, then the encoded audio bitstream is processed in frequency domain and a desired number of audio samples per frame are outputted according to the resampling ratio. The encoded audio bitstream is processed in frequency domain using sample rate converter integrated into a filter bank of an audio decoder. If the resampling ratio is outside the resampling threshold range, then the encoded audio bitstream is processed in time domain and a desired number of audio samples per frame are outputted according to the resampling ratio.

Method and apparatus for processing audio data

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Bengaluru, India

Raj Narayana Gadde