Journal of Jilin University(Engineering and Technology Edition) ›› 2025, Vol. 55 ›› Issue (2): 741-747.doi: 10.13229/j.cnki.jdxbgxb.20240037

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Lightweight detection algorithm for lossless transcoding and heavy compression of massive digital media videos

Hua-song DONG(),Yuan-feng LIAN   

  1. College of Artificial Intelligence，China University of Petroleum （Beijing），Beijing 102249，China
  • Received:2024-01-11 Online:2025-02-01 Published:2025-04-16

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Abstract:

To timely obtain video quality， a lightweight detection algorithm for lossless transcoding and heavy compression of massive digital media videos is proposed. This method divides video encoded frames into several encoding tree blocks based on high-performance video encoding， and optimizes video rate distortion to ensure video quality during the partitioning process while minimizing computational and storage costs， achieving a certain degree of lightweighting； Based on this， pixel values， color space， and motion vectors are extracted from each image frame in the video， and the extracted results are compared and analyzed with the initial video pixel values， color features， and motion vectors to determine whether the quality of the re compressed video is damaged， achieving lightweight detection of the re compressed video. The experimental results show that when using the proposed method for compressed video quality detection， the color component extraction results of the compressed video image are consistent with the actual color component of the compressed video image. Moreover， when the number of videos reaches 5000， the detection result of the number of false positives in video detection is 3， further demonstrating the high detection performance and good effect of the proposed method.

Key words: digital media video, lossless transcoding and recompression, lightweight testing, video frame division, color feature extraction

CLC Number: 

  • TP306

Fig.1

Division of encoding tree units for a certain video frame in compressed video"

Fig.2

Image frame"

Fig.3

Encoding Tree unit corresponding quadtree"

Fig.4

Test results of pixel distribution in compressed video images"

Fig.5

Test results of global color components in video image frames using different methods"

Table 1

Actual detection performance testing of compressed videos using different methods"

视频数量/个视频检测误报数量检测结果/个
本文方法文献［4］方法文献［5］方法
1 000000
2 000001
3 000123
4 000156
5 0003810
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