Список литературы

2518-1092

Research result. Information technologies

2518-1092

10.18413/2518-1092-2025-10-2-0-3

3818

INFORMATION SYSTEM AND TECHNOLOGIES

<strong>DEVELOPMENT OF THE CONCEPT OF A MULTI-AGENT APPROACH TO VIDEO DATA ENCODING</strong>

Oksana

Nikolaevna Stetsenko

Oksana

Nikolaevna Stetsenko

stetsenkoon81@yandex.ru

Khlopov

Andrey Mikhailovich

Khlopov

Andrey Mikhailovich

Akinshin

Danil Ivanovich

Akinshin

Danil Ivanovich

Minchenko

Evgeny Sergeevich

Minchenko

Evgeny Sergeevich

2025

10200

The aim of the study is to develop a concept of a multi-agent approach to video data coding to improve the quality of the video sequence and increase the bit rate through the use of a multi-agent system. The increase in multimedia data volume and the existing limitations of standard codecs lead to conditions where maintaining the required video stream quality cannot be guaranteed. In particular, existing processing schemes lack flexibility regarding the possibility of correcting processing parameters of preceding encoding stages relative to the current one. A possible solution to this problem could be the decentralization of the encoding process coupled with a departure from a rigid pipeline scenario. This paper considers an approach to video stream frame processing based on a multi-agent system. A concept for a multi-agent system oriented towards implementing video stream encoding mechanisms based on standard processing schemes of the MPEG family technology is proposed. The generalized structure of the multi-agent system, typical agents (intra-frame and inter-frame processing), and their interaction logic are discussed. The main focus is placed on intra-frame processing. Possible operating modes of the multi-agent system are separately considered, namely – training, main, and correction modes. Within the proposed approach, processed frames are associated with a set of encoder parameters based on their content characteristics, which can subsequently be corrected based on the obtained bitrate and the current error level. This allows for a significant reduction in processing time as a result of significantly narrowing the space of possible encoding parameter values.

multi-agent systemMAS architectureintelligent agentvideo frame recognitionvideo data processingvideo encodingartificial intelligence

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