TY  - JOUR
T1  - Improving Face Detection Performance of Compressed MPEG Videos by Using Frame-Independent Scene Change Detection Method
AU  - Özdem, Mehmet
PY  - 2025
DA  - October
Y2  - 2024
DO  - 10.17694/bajece.1577997
JF  - Balkan Journal of Electrical and Computer Engineering
PB  - MUSA YILMAZ
WT  - DergiPark
SN  - 2147-284X
SP  - 376
EP  - 381
VL  - 13
IS  - 3
LA  - en
AB  - With the spread of computer vision applications, the performance of such applications also became prominent, especially when real-time and near real-time use cases are considered. If not all, many object detection algorithms follow a frame-based search approach, where all frames of the MPEG stream are analyzed sequentially. This drastically increases the computation time and the hardware requirements for such systems. This paper proposes employing a new scene-change detection method to improve object and face detection performance by eliminating the need to analyze every video frame. The method provides a frameindependent approach and does not require decoding and reencoding of MPEG video. The paper also reports the performance test outcomes to exhibit the proposed approach’s value. The findings show that a scene-change detection method enhances efficiency and decreases computational demands. Focusing on frames that show scene changes shows notable advancements in object detection performance.
KW  - Face detection
KW  - Object detection
KW  - Frame-by-frame analysis
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UR  - https://doi.org/10.17694/bajece.1577997
L1  - https://dergipark.org.tr/tr/download/article-file/4334072
ER  -