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Anastasia Mozhaeva

Lecturer - Computing

Email

amozhaeva@eit.ac.nz

Areas of Teaching

Machine learning and AI, programming, video compression, aerospace, unmanned aerial vehicle

Qualifications

2024 PhD, Waikato University, Hamilton, New Zealand, 2007:Bachelor's degree - Moscow Technical University of Communications and Informatics (MTUCI), 2009: Master of Research- Moscow Technical University of Communications and Informatics (MTUCI)

Profile

I research how the human visual system and knowledge of human perception can be incorporated into video compression and quality metrics. My recent projects focus on designing video quality algorithms that include human visual performance and viewing conditions to deliver the best video quality, given limited resources.

Grants

2020 Grant of the Moscow Technical University of Communications and Informatics
2021 Grant of the MINISTRY OF DIGITAL DEVELOPMENT, COMMUNICATIONS AND MASS COMMUNICATIONS – Project number AAAA-A21-121012290173-7
2022 Grant of the Moscow Technical University of Communications and Informatics
2023 Grant of the Science Foundation – Project number 23-29-00302 2023 Grant of the Science Foundation – Project number 23-29-00299
2024 Grant of Eastern Institute of Technology

Areas of Interest

Signal, Image and Video Processing
Human-Computer Interaction
Computer Vision
Machine Learning and Artificial Intelligence
Data Science

Research Outputs

Conference Contribution- Paper in published Proceedings

Anastasia Mozhaeva

Egorov, D., Fedorov, V., Vlasuyk, I., Potashnikov, A., & Mozhaeva, A. (2022). A Novel Method for Estimating the Spatial Frequency Characteristics of Cameras Based on Generative Random Sequences. 2022 Systems of Signals Generating and Processing in the Field of on Board Communications (pp. 1-5). doi:10.1109/IEEECONF53456.2022.9744396

Potashnikov, A., Mazin, V., Stepanov, A., Smirnov, A., & Mozhaeva, A. (2022). Analysis of Modern Methods Used to Assess the Quality of Video Sequences During Signal Streaming. 2022 Systems of Signals Generating and Processing in the Field of on Board Communications (pp. 1-4). doi:10.1109/IEEECONF53456.2022.9744294

Nezhivleva, K., Davydova, A., Drebuzhan, A., Mozhaeva, A., & Balobanov, A. (2022). Comparing of Modern Methods Used to Assess the Quality of Video Sequences During Signal Streaming with and Without Human Perception. 2022 Systems of Signal Synchronization, Generating and Processing in Telecommunications (SYNCHROINFO) (pp. 1-6). doi:10.1109/SYNCHROINFO55067.2022.9840983

Drebuzhan, A., Nezhivleva, K., Potashnikov, A., Vlasuyk, I., & Mozhaeva, A. (2022). The Steganographic Method of Introducing Additional Information, Resistant to Transcoding and Conversion. 2022 Systems of Signals Generating and Processing in the Field of on Board Communications (pp. 1-5). doi:10.1109/IEEECONF53456.2022.9744086

Research Outputs

Research outputs 2024

Research outputs 2023

Egorova, A., Baryshev, R., & Mozhaeva, A. (2023). Methodology of researching perception identity of regions of users’ interests while viewing streaming video containing various content and compression artefacts. In 2023 Systems of Signals Generating and Processing in the Field of on Board Communications (pp. 1-7). IEEE. https://doi.org/10.1109/IEEECONF56737.2023.10092038

Mazin, V., Cree, M. J., Streeter, L., Nezhivleva, K., & Mozhaeva, A. (2023). Research and application of the adaptive model of the human visual system for improving the effectiveness of objective video quality metrics. In 2023 33rd Conference of Open Innovations Association (FRUCT) (pp. 192-197). IEEE. https://doi.org/10.23919/FRUCT58615.2023.10142993

Mozhaeva, A., Mazin, V., Cree, M. J., & Streeter, L. (2023). NRspttemVQA: Real-time video quality assessment based on the user’s visual perception. In 2023 38th International Conference on Image and Vision Computing New Zealand (IVCNZ) (pp. 1-7). IEEE. https://doi.org/10.1109/IVCNZ61134.2023.10343863

Mozhaeva, A., Mazin, V., Cree, M. J., & Streeter, L. (2023). Video quality assessment considering the features of the human visual system. In W. Q. Yan, M. Nguyen, & M. Stommel (Eds.), Image and vision computing. IVCNZ 2022 (pp. 288-300). Springer Nature.
https://doi.org/10.1007/978-3-031-25825-1_21

Votyakov, S., Mazin, V., Detusheva, P., Fast, S., & Mozhaeva, A. (2023). MTUCI database with constant subjective assessment: Research and device for generation of video sequences of constant quality. DSPA: Application Issues of Digital Signal Processing, 13(3), 12-19.
https://media-publisher.ru/wp-content/uploads/DSPA-3-2023.pdf#page=12

Mazin, V., Egorov, D., & Mozhaeva, A. (2023). Software for improving the efficiency of video quality assessment algorithms “ZSCH-M MODULE”. https://www.elibrary.ru/item.asp?id=53821391

Vyatkin, M., Davydova, A., Mozhaeva, A., & Potashnikov, A. (2023). Software for collecting and processing statistics of the direction of view “SOSNV” (Version 1). https://www.elibrary.ru/item.asp?id=50133909

Research outputs 2022

Journal Article

Mozhaeva, A., Vashenko, E., Selivanov, V., Potashnikov, A., Vlasuyk, I., & Streeter, L. (2022). Analysis of current video databases for quality assessment. T-Comm, 16(2), 48-56. doi:10.36724/2072-8735-2022-16-2-48-56

Akhromeiko, D., Zhuravlev, A., Safonof, I., Mozhaeva, A., & Streeter, L. (2022). ANALYSIS OF MODERN ENCODING STANDARDS FOR STREAMING VIDEO TRANSMISSION. DSPA: APPLICATION ISSUES OF DIGITAL SIGNAL PROCESSING, 12(3), 10-18.

Vlasyuk, I., Pashkovskaya, A., Myasnikova, V., Nikolskaya, D., & Mozhaeva, A. (2022). COST ANALYSIS OF CREATING MODERN VIDEO SEQUENCE DATABASES WITH SUBJECTIVE QUALITY ASSESSMENT. DSPA: APPLICATION ISSUES OF DIGITAL SIGNAL PROCESSING, 12(1), 4-11.

Vyatkin, M., Potashnikov, A., Selivanov, V., Vlasuyk, I., Nezhivleva, K., & Mozhaeva, A. (2022). Method of preventing leakage of personal data through eye-tracking modules of user devices. T-Comm, 16(7), 44-51. doi:10.36724/2072-8735-2022-16-7-44-51

Mozhaeva, A., Vlasyuk, I., Nezhivleva, K., & Komina, A. (2022). METHODOLOGY CREATION OF A STIMULUS FOR QUANTITATIVE ASSESSMENT OF THE FLICKER EFFECT IN VIDEO COMPRESSION. SYSTEMS OF SYNCHRONIZATION, FORMATION AND PROCESSING OF SIGNAL, 13(6), 29-36.

Davydova, A., Mozhaeva, A., Khurani, A., Demina, M., & Rusalimov, M. (2022). METHODOLOGY FOR STUDYING IDENTITY OF PERCEPTION OF USER INTEREST REGIONS WHEN WATCHING STREAMING VIDEO CONTAINING VARIOUS CONTENT AND COMPRESSION ARTIFACTS. SYSTEMS OF SYNCHRONIZATION, FORMATION AND PROCESSING OF SIGNAL, 13(6), 42-51.

Software

Vlasyuk, I., Balabanov, A., Potashnikov, A., Mozhaeva, A., & Fedorov, V. (2022). SPO FOR CREATING VIDEO SEQUENCES OF CONSTANT SUBJECTIVE QUALITY “SVPSC”. VERSION 1.0.Retrieved from https://www.elibrary.ru/item.asp?id=47784445.