WO2024131461A1 - Procédé, appareil et dispositif d'analyse de cause profonde pour un fichier vidéo à saut de trame - Google Patents
Procédé, appareil et dispositif d'analyse de cause profonde pour un fichier vidéo à saut de trame Download PDFInfo
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- WO2024131461A1 WO2024131461A1 PCT/CN2023/134495 CN2023134495W WO2024131461A1 WO 2024131461 A1 WO2024131461 A1 WO 2024131461A1 CN 2023134495 W CN2023134495 W CN 2023134495W WO 2024131461 A1 WO2024131461 A1 WO 2024131461A1
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- Prior art keywords
- frame skipping
- video
- video frame
- analysis
- file
- Prior art date
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- 238000004458 analytical method Methods 0.000 title claims abstract description 113
- 238000000034 method Methods 0.000 claims abstract description 18
- 238000010219 correlation analysis Methods 0.000 claims abstract description 4
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- 230000002159 abnormal effect Effects 0.000 claims description 8
- 230000004048 modification Effects 0.000 claims description 6
- 238000012986 modification Methods 0.000 claims description 6
- 238000000605 extraction Methods 0.000 claims description 3
- 230000005856 abnormality Effects 0.000 abstract description 2
- 238000004364 calculation method Methods 0.000 description 5
- 238000005516 engineering process Methods 0.000 description 4
- 230000005540 biological transmission Effects 0.000 description 3
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 238000004891 communication Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 101001121408 Homo sapiens L-amino-acid oxidase Proteins 0.000 description 1
- 102100026388 L-amino-acid oxidase Human genes 0.000 description 1
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- 238000012545 processing Methods 0.000 description 1
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Classifications
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Definitions
- the using of a preset analysis model to perform frame skipping anomaly analysis on the target video file according to the video file information and determining a video frame skipping device, wherein the video frame skipping device is determined according to the number of video frame skipping files comprises:
- An information extraction unit used to extract video file information from a target video file, wherein the video file information includes video duration, file size and bit rate, and the target video file includes a corresponding source device;
- it also includes:
- the frame skipping source device is marked as a video frame skipping device.
- the root cause analysis method of video frame skipping files provided by the present application can determine the specific video frame skipping device by extracting video file information related to the video for frame skipping analysis, and then perform information analysis on the video frame skipping device at multiple levels and weighted calculation to clarify the root cause of video frame skipping; the whole process is simple and easy to execute, consumes less resources and takes less calculation time; most importantly, by analyzing the network associated with the device By analyzing the network, model and resource pool, the cause of video frame skipping can be more comprehensively understood, and the results obtained are more accurate and reliable. Therefore, the present application can solve the technical problem that the causes of video frame skipping in the prior art are complex and diverse and difficult to determine.
- Step 101 extract video file information from a target video file, where the video file information includes video duration, file size, and bit rate, and the target video file includes a corresponding source device.
- the frame skipping source device is marked as a video frame skipping device, and then the method further includes:
- the root cause analysis method of the video frame skipping file provided in the embodiment of the present application can determine the specific video frame skipping device by extracting the video-related video file information for frame skipping analysis, and then perform information analysis on the video frame skipping device at multiple levels, as well as weighted calculation, to clarify the root cause of the video frame skipping; the whole process is simple and easy to execute, consumes less resources, and takes less calculation time; most importantly, by analyzing the network, model, and resource pool associated with the device, the cause of the video frame skipping can be more comprehensively grasped, and the result obtained is more accurate and reliable. Therefore, the embodiment of the present application can solve the technical problem that the causes of the video frame skipping problem existing in the prior art are complex and diverse, and difficult to determine.
- the information extraction unit 201 is used to extract video file information from the target video file, where the video file information includes video duration, file size and bit rate, and the target video file includes a corresponding source device;
- the root cause analysis unit 203 is used to perform network correlation analysis, device model analysis and resource pool analysis on the video frame skipping device, and perform a multi-factor weighted analysis operation according to preset weights to obtain the root cause of the video frame skipping.
- the frame skipping analysis unit 202 is specifically configured to:
- a preset analysis model is used to determine whether the video duration, file size and bit rate of the video file information are within a preset abnormal range. If so, the corresponding target video file is marked as a video frame skipping file, and the video frame skipping file includes a corresponding frame skipping source device;
Landscapes
- Television Signal Processing For Recording (AREA)
Abstract
La présente demande divulgue un procédé, un appareil et un dispositif d'analyse de cause profonde pour un fichier vidéo à saut de trame. Le procédé comprend : l'extraction d'informations de fichier vidéo d'un fichier vidéo cible, les informations de fichier vidéo comprenant une durée vidéo, une taille de fichier et un débit de codes, et le fichier vidéo cible comprenant un dispositif source correspondant ; l'utilisation d'un modèle d'analyse prédéfini pour réaliser une analyse d'anomalie de saut de trame sur le fichier vidéo cible selon les informations de fichier vidéo, et la détermination d'un dispositif vidéo à saut de trame, le dispositif vidéo à saut de trame étant déterminé selon le nombre de fichiers vidéo à saut de trame ; et la réalisation respectivement d'une analyse de corrélation de réseau, d'une analyse de modèle de dispositif et d'une analyse de groupe de ressources sur le dispositif vidéo à saut de trame, et la réalisation d'une opération d'analyse pondérée à multiples facteurs selon des poids prédéfinis de façon à obtenir une cause profonde de saut de trame vidéo. La présente demande peut résoudre le problème technique, dans l'état de la technique, selon lequel les causes d'un problème de saut de trame vidéo sont complexes et diversifiées et ne peuvent pas être facilement déterminées.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211658156.XA CN115967799A (zh) | 2022-12-22 | 2022-12-22 | 一种视频跳帧文件的根因分析方法、装置及设备 |
| CN202211658156.X | 2022-12-22 |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| WO2024131461A1 true WO2024131461A1 (fr) | 2024-06-27 |
Family
ID=87359604
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| PCT/CN2023/134495 WO2024131461A1 (fr) | 2022-12-22 | 2023-11-27 | Procédé, appareil et dispositif d'analyse de cause profonde pour un fichier vidéo à saut de trame |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN115967799A (fr) |
| WO (1) | WO2024131461A1 (fr) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115967799A (zh) * | 2022-12-22 | 2023-04-14 | 天翼数字生活科技有限公司 | 一种视频跳帧文件的根因分析方法、装置及设备 |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106411927A (zh) * | 2016-10-28 | 2017-02-15 | 北京奇虎科技有限公司 | 一种监控录像方法和装置 |
| US20180367827A1 (en) * | 2017-06-19 | 2018-12-20 | Wangsu Science & Technology Co., Ltd. | Player client terminal, system, and method for implementing live video synchronization |
| US20190147279A1 (en) * | 2017-11-13 | 2019-05-16 | Aupera Technologies, Inc. | System of a video frame detector for video content identification and method thereof |
| CN110418199A (zh) * | 2018-04-26 | 2019-11-05 | 北京视联动力国际信息技术有限公司 | 一种基于视联网的信息处理方法及系统 |
| CN112016500A (zh) * | 2020-09-04 | 2020-12-01 | 山东大学 | 基于多尺度时间信息融合的群体异常行为识别方法及系统 |
| CN115967799A (zh) * | 2022-12-22 | 2023-04-14 | 天翼数字生活科技有限公司 | 一种视频跳帧文件的根因分析方法、装置及设备 |
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2022
- 2022-12-22 CN CN202211658156.XA patent/CN115967799A/zh active Pending
-
2023
- 2023-11-27 WO PCT/CN2023/134495 patent/WO2024131461A1/fr unknown
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106411927A (zh) * | 2016-10-28 | 2017-02-15 | 北京奇虎科技有限公司 | 一种监控录像方法和装置 |
| US20180367827A1 (en) * | 2017-06-19 | 2018-12-20 | Wangsu Science & Technology Co., Ltd. | Player client terminal, system, and method for implementing live video synchronization |
| US20190147279A1 (en) * | 2017-11-13 | 2019-05-16 | Aupera Technologies, Inc. | System of a video frame detector for video content identification and method thereof |
| CN110418199A (zh) * | 2018-04-26 | 2019-11-05 | 北京视联动力国际信息技术有限公司 | 一种基于视联网的信息处理方法及系统 |
| CN112016500A (zh) * | 2020-09-04 | 2020-12-01 | 山东大学 | 基于多尺度时间信息融合的群体异常行为识别方法及系统 |
| CN115967799A (zh) * | 2022-12-22 | 2023-04-14 | 天翼数字生活科技有限公司 | 一种视频跳帧文件的根因分析方法、装置及设备 |
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| Publication number | Publication date |
|---|---|
| CN115967799A (zh) | 2023-04-14 |
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