公开(公告)号：US20140016789A1

公开(公告)日：2014-01-16

申请号：US13918458

申请日：2013-06-14

Applicant: Electronics and Telecommunications Research Institute

Inventor： Seung-Jae LEE ,  Jung-Hyun KIM ,  Won-Young YOO ,  Yong-Seok SEO ,  Sang-Kwang LEE ,  Jee-Hyun PARK ,  Young-Suk YOON ,  Young-Ho SUH

IPC: G10L19/018

CPC classification number: G10L19/018 ,  G06F17/30743 ,  G10L25/18 ,  G10L25/69

Abstract: Disclosed herein is an apparatus and method for measuring quality of audio. The apparatus includes a distorted signal generation unit, an extraction unit, a distortion level measurement unit, a distortion function generation unit, and a search and measurement unit. The distorted signal generation unit generates a plurality of distorted signals with respect to audio in compliance. The extraction unit extracts a fingerprint and AV information corresponding to the audio and fingerprints and AV information corresponding to the plurality of distorted signals. The distortion level measurement unit measures fingerprint distance differences, and arousal and valence (AV) distance differences. The distortion function generation unit generates a fingerprint distortion function and an AV distortion function. The search and measurement unit measures the quality of the audio by extracting a fingerprint and AV information from query audio and then comparing extraction results with the fingerprint distortion function or AV distortion function.

Abstract translation: 本文公开了一种用于测量音频质量的装置和方法。 该装置包括失真信号生成单元，提取单元，失真水平测量单元，失真函数生成单元和搜索和测量单元。 失真信号产生单元根据音频产生多个失真信号。 提取单元提取对应于音频和指纹的指纹和AV信息以及与多个失真信号相对应的AV信息。 失真度测量单元测量指纹距离差异，唤醒和价（AV）距离差异。 失真函数生成单元生成指纹失真函数和AV失真函数。 搜索和测量单元通过从查询音频提取指纹和AV信息，然后将提取结果与指纹失真功能或AV失真功能进行比较来测量音频的质量。

公开(公告)号：US20240013812A1

公开(公告)日：2024-01-11

申请号：US18161316

申请日：2023-01-30

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： Su-Young BAE ,  Sang-Kwang LEE ,  Seung-Jin HONG

IPC: G11B27/34 ,  G11B27/031

CPC classification number: G11B27/34 ,  G11B27/031

Abstract: Disclosed herein is a method for extracting a highlight video. The method may include receiving a video, detecting an event in the video using a learning model trained with resource images used for event detection, and extracting at least one highlight video based on the event.