Video image transmission processing method and device
A video image and processing method technology, applied in the field of video transmission, video image transmission processing method and device, can solve the problems of high complexity, packet loss, poor video quality, etc. quality effect
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 2
[0052] Embodiment 2 refines Embodiment 1 in the step of dividing the input video image into face parts and non-face parts. While having the beneficial technical effect of Embodiment 1, due to the use of the H.264 encoding algorithm The FMO mode effectively limits the face within a minimum rectangle, so that the allocation rate of coding bits reaches the highest. The FMO mode type of H.264 is used to segment the face part and the non-face part. In the face video In the image, the human face is often the area of interest to everyone, and it has a high importance. Extracting the human face and encoding and marking it separately, instead of processing the entire image in the same way, is conducive to more accurate processing under the condition of limited channel resources. Effective use of channel resources to achieve better transmission results. In addition, because the same H.264 encoding algorithm can be used to encode face segments and non-face segments with different preci...
Embodiment 3
[0058] Embodiment three refines embodiment one in the step of dividing the input video image into a human face part and a non-human face part, so it has the beneficial technical effect of embodiment one; embodiment three adopts MPEG-4 to encode, Compared with the second embodiment, the cost of object segmentation and shape coding is higher, but the present invention can also be implemented through MPEG-4, and is not limited to H.264 to distinguish the priority of human face and non-human face parts in video images.
[0059] Figure 6 It is a flow chart of a video image transmission processing method according to Embodiment 4 of the present invention. Embodiment 4 is a preferred implementation of a video image transmission processing method of the present invention. The video image is divided into face Fragmentation and non-face fragmentation, use H.264 to encode face fragments and non-face fragments with different precision, and set different priorities for the specific implem...
Embodiment 7
[0085] The seventh embodiment includes the receiving module 1, the detection processing module 2, the encoding module 3 and the transmission module 4 in the sixth embodiment, wherein the detection processing module 2 may include:
[0086] The detection and division sub-module 21 is used to obtain the minimum circumscribed rectangle of the human face in the video image according to the human face detection algorithm, the minimum circumscribed rectangle is used as the human face part, and the rest of the video image is used as the non-human face part, see image 3 and related instructions;
[0087] Fragmentation sub-module 22, for face part and non-human face part fragmentation, video image is divided into the fragmentation of human face part and the fragmentation of non-human face part;
[0088] The first priority processing sub-module 23 is used to set a high priority mark for the fragmentation of the human face part, and set a low priority mark for the fragmentation of the no...
PUM
Login to View More Abstract
Description
Claims
Application Information
Login to View More - R&D
- Intellectual Property
- Life Sciences
- Materials
- Tech Scout
- Unparalleled Data Quality
- Higher Quality Content
- 60% Fewer Hallucinations
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com
