公开(公告)号：US20200162731A1

公开(公告)日：2020-05-21

申请号：US16424556

申请日：2019-05-29

Applicant: Korea Electronics Technology Institute

Inventor： Yong Hwan KIM ,  Ganzorig GANKHUYAG ,  Jin Woo JEONG

IPC: H04N19/117 ,  H04N19/52 ,  H04N19/139 ,  H04N19/523 ,  H04N19/124 ,  H04N19/82 ,  H04N19/196 ,  H04N19/176

Abstract: There is provided a motion-constrained AV1 encoding method and apparatus for tile-based streaming of an ultra-high definition image, which encodes an image such that the image can be decoded by integrating tile-based segmented images at a bit stream level without modifying an AV1 standard decoder. According to an embodiment of the present disclosure, the motion-constrained encoding method includes: limiting a motion prediction range based on a format and a size of an image; and predicting motion vectors regarding tiles constituting the image, based on the limited motion prediction range. Accordingly, a tile-based streaming service is possible through motion-constrained AV1 encoding of an ultra-high definition image (360 VR image or panorama image). In addition, a consumer electronic device is enabled to integrate and decode segmented images by using a single standard AV1 decoder.

公开(公告)号：US20240314390A1

公开(公告)日：2024-09-19

申请号：US18576912

申请日：2022-02-14

Applicant: KOREA ELECTRONICS TECHNOLOGY INSTITUTE

Inventor： Sung Jei KIM ,  Jin Woo JEONG ,  Seung Ho LEE ,  Hyeon Cheol MOON

IPC: H04N21/4402 ,  H04N19/70 ,  H04N21/234 ,  H04N21/25

CPC classification number: H04N21/440272 ,  H04N19/70 ,  H04N21/23418 ,  H04N21/251

Abstract: Proposed is an electronic device, a system, and a method for intelligent horizontal-vertical image conversion. The device may transmit a bitstream containing information on an image having a first image ratio that is longer horizontally than vertically to a terminal to enlarge and reproduce the image when the terminal has a screen ratio state that is longer vertically than horizontally. The device may include an analysis controller for analyzing contents of a corresponding frame image to calculate a corresponding reproduction area. The device may also include a selection controller for separating the image into a plurality of subunits, and selecting an optimal artificial intelligence (AI) model applied for each subunit according to the contents of the image within the corresponding subunit from among a plurality of previously trained AI models. The device may further include a generation controller for generating the bitstream, the reproduction area, and the optimal AI model.