Peer-reviewed journal articles

Mozhaeva A, Cree MJ, Durrant RJ, Vlasuyk I, Potashnikov A, Mazin V, Streeter L (2024). A contrast sensitivity model of the human visual system in modern conditions for presenting video content. PLoS One, 19(5). https://doi.org/10.1371/journal.pone.0303987

Mozhaeva A (2023, In Press). Video quality assessment adapted for TV signals considering modern media content transmission features. Radio Engineering.

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), pp. 48-56.

Mozhaeva A, Vlasyuk I, Nezhivleva K, Komina A (2022). Methodology for creating a stimulus for quantitative assessment of the flicker effect in video compression. Systems for synchronization, formation and processing of signals, 13(6), pp. 29-36.

Vyatkin M, Potashnikov A, Selivanov V, Vlasuyk I, Nezhivleva K, Mozhaeva A. (2022) Method of preventing leakage of personal data through eyetracking modules of user devices. T-Comm, 16 (7) 44-51.

Vlasyuk IV, Pashkovskaya AR, Myasnikova VS, Nikolskaya DI, Mozhaeva AI (2022). ANALYSIS OF THE COST OF CREATION OF MODERN DATABASES OF VIDEO SEQUENCES WITH SUBJECTIVE QUALITY ASSESSMENT. DSPA: Application Issues of Digital Signal Processing No. 1

Votyakov SY, Detusheva PV, Mazin VA, Fast SS, Mozhaeva AI. (2023). MTUCI Database with Constant Subjective Assessment: Research and Device for Generating Video Sequences of Constant Quality. DSPA: Application Issues of Digital Signal Processing, vol. 13, no. 3, pp. 12-19.

Davydova AA, Mozhaeva AI, Khurani VK, Demina MA, Rusalimov MA. (2022). Methodology for studying the identity of perception of user interest regions when viewing streaming video containing various content and compression artifacts. Systems for synchronization, formation and processing of signals, vol. 13, no. 6, pp. 42-51.

Potashnikov AM, Mozhaeva AI. (2021). Study of the threshold resolution of the human visual system for the primary colours of the RGB system. DSPA: Issues of Application of Digital Signal Processing, vol. 11, no. 1, pp. 3-10.

Mozhaeva AI, Vlasyuk IV, Potashnikov AM, Streeter L. (2021). A reference objective metric for assessing video quality compatible with PSNR considers frequency and peripheral characteristics of human vision. DSPA: Issues of application of digital signal processing, vol. 11, no. 2, pp. 44-54.

Peer-reviewed conference proceedings

Mozhaeva A, Vlasuyk I, Potashnikov A, Mazin V and Streeter L (2024). Video Quality Metric Compatible with PSNR Considering Recent Knowledge of Peripheral Characteristics of Human Vision, 39th International Conference on Image and Vision Computing New Zealand (IVCNZ), Christchurch, New Zealand, pp. 1-6, doi: 10.1109/IVCNZ64857.2024.10794472.
 
Vlasuyk I, Potashnikov A, Mazin V, Mozhaeva A, Egorov D (2024). A Measurement Method and a Mathematical Model of the Human Vision System's Temporal Peripheral Characteristics, Systems of Signals Generating and Processing in the Field of on Board Communications, pp. 1-7. doi:10.1109/IEEECONF60226.2024.10496740
 
Mozhaeva A, Mazin V, Cree MJ and Streeter L (2023). NRspttemVQA: Real-Time Video Quality Assessment Based on the User’s Visual Perception, 38th International Conference on Image and Vision Computing New Zealand (IVCNZ), Palmerston North, New Zealand, pp. 1-7. doi: 10.1109/IVCNZ61134.2023.10343863.
 
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. Systems of Signals Generating and Processing in the Field of on Board Communications, pp. 114-120. https://doi.org/10.1109/IEEECONF56737.2023.10092038

Mazin V, Cree MJ, 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. 33rd Conference of Open Innovations Association FRUCT, pp.192-197.
doi: 10.23919/FRUCT58615.2023.10142993
 
Mozhaeva A, Streeter L, Vlasuyk I, Potashnikov A (2021). Full reference video quality assessment metric on base human visual system consistent with PSNR. 28th Conference of Open Innovations Association FRUCT, pp. 309-315. https://doi.org/10.23919/FRUCT50888.2021.9347604
 
Mozhaeva A, Vlasuyk I, Potashnikov A, Cree M, Streeter L (2021). The method and devices for research the parameters of the human visual system to video quality assessment. Systems of Signals Generating and Processing in the Field of on Board Communications, pp. 1-5. https://doi.org/10.1109/IEEECONF51389.2021.9416081

Potashnikov A, Mozhaeva A, Vlasuyk I, Mazin V , Egorov D, "Research of the Dependence of the Sensitivity of the Visual System on the Geometric Dimensions of the Stimuli in the Perception of a Typical Multimedia Content," 2024 36th Conference of Open Innovations Association (FRUCT), Lappeenranta, Finland, 2024, pp. 617-625, doi: 10.23919/FRUCT64283.2024.10749915

Drebuzhan AM, Nezhivleva KI, Potashnikov AM, Vlasuyk IV, Mozhaeva AI. (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, SOSG 2022, https://doi.org/10.1109/IEEECONF53456.2022.9744086

Egorov DA, Fedorov VD, Vlasuyk IV, Potashnikov AM, Mozhaeva AI. (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, SOSG 2022, https://doi.org/10.1109/IEEECONF53456.2022.9744396

Nezhivleva KI, Davydova AA, Drebuzhan AM, Mozhaeva AI, 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 2022, https://doi.org/10.1109/SYNCHROINFO55067.2022.9840983

Potashnikov AM, Mazin VA, Stepanov NS, Smirnov AP, Mozhaeva AI. (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, SOSG 2022, https://doi.org/10.1109/IEEECONF53456.2022.9744294

Mozhaeva A, Potashnikov A, Vlasuyk I, Streeter L. (2021). Constant subjective quality database: the research and device of generating video sequences of constant quality. 2021 International Conference on Engineering Management of Communication and Technology, EMCTECH 2021, https://doi.org/10.1109/EMCTECH53459.2021.9618977

Potashnikov AM, Mozhaeva AI, Vlasuyk I V, Fedorov VD, Balobanov AV. (2021). The method of forming a panorama with increased resolution in the spatial direction. 2021 Systems of Signals Generating and Processing in the Field of on Board Communications, SOSG 2021, https://doi.org/10.1109/IEEECONF51389.2021.9415978

Akhromeiko DS, Zhuravlev AD, Safonov IA, Mozhaeva AI, Streeter L. (2022). ANALYSIS OF MODERN ENCODING STANDARDS FOR STREAMING VIDEO TRANSMISSION. DSPA: Application Issues of Digital Signal Processing No. 3

Peer-reviewed book chapters, books edited

Mozhaeva A, Mazin V, Cree MJ, Streeter L (2022). Video quality assessment considering the features of the human visual system. Lecture Notes in Computer Science Cham: Springer Nature Switzerland, pp. 288–300. https://doi.org/10.1007/978-3-031-25825-1_21

SOFTWARE

SOFTWARE FOR IMPROVING THE EFFICIENCY OF VIDEO QUALITY ASSESSMENT ALGORITHMS "MODULE ZSCH-M". Certificate of registration 2023660431, 19.05.2023.

SOFTWARE FOR CREATING VIDEO SEQUENCES OF CONSTANT SUBJECTIVE QUALITY "SVPSC". VERSION 1.0. Certificate of registration 2022610327, 11.01.2022. 

SOFTWARE FOR COLLECTING AND PROCESSING VIEW DIRECTION STATISTICS "SOSNV". VERSION 1.0. Certificate of registration 2023611046, 16.01.2023.