Video Compression Task. Mainly focused on compression rate and VMAF score.

@AwaisChaudhry

Having worked with video codecs and compression pipelines for over a decade, I strongly believe my skills align perfectly with your project. With in-depth proficiency in AV1 encoding, FFmpeg, and Python programming - coupled with my experience in utilizing VMAF and other quality metrics, I am confident in delivering the perfect balance between incredibly high compression rates, meeting your targeted VMAF thresholds, and within any necessary time constraints. What distinguishes me from potential candidates are my additional technical skills complementing video compression pipelines such as machine learning/AI (PyTorch) which can be handy for scene detection and classification mentioned as future tasks. Furthermore, my understanding of computer vision for video analysis lends itself well to creating adaptable encoding parameters tailored to different content types – ultimately enhancing efficiency. Being part of ZAWN Tech, I guarantee a meticulous approach that prioritizes meeting the demands of both software and hardware. Having successfully built solutions that have been highly performant even on reasonable hardware configurations, including being device-agnostic, the final product meets your specifications: from achieving high compression ratios while maintaining quality to completing processing tasks within given timeframes. Choose me today to transform your video compression system into something truly remarkable!

@VideoXperts

Hi There, I've carefully read your project description, and I am interested in working on Video Compression Task. Mainly focused on compression rate and VMAF score. We are an expert team which have 8 years of experience in Video Services please visit my freelancer profile to see my portfolio Lets connect in chat so that We discuss further. VideoXperts Pro

@leadconcept

Hello, I can develop a high performance AV1 video compression pipeline that meets your requirements: 5–20x compression, VMAF 85–93 thresholds, and 30-second per 30s video chunk processing for both 4K and HD inputs. The solution will leverage SVT-AV1 or AV1-nvenc, Python scripting with FFmpeg integration, adaptive scene classification, and optional ML-based quality prediction to balance compression, quality, and speed. 1, Are there preferred methods for scene classification (traditional CV vs. ML based), 2, Should the pipeline support batch processing of multiple videos or single chunk processing only, 3, Any constraints on GPU usage beyond the RTX 4090 baseline for testing? Our team includes engineers experienced in AV1, SVT-AV1, AV1-nvenc, FFmpeg automation, VMAF evaluation, Python, GPU acceleration, and ML based video analytics, delivering fully documented pipelines with reproducible benchmarks, performance reporting, and easy deployment. Please start a chat to discuss sample video benchmarks, pipeline configuration, and milestones, current bid amount is a placeholder to submit the proposal. Regards Yasir LEADconcept PS: I can share previous AV1 compression projects, GPU encoding benchmarks, and pipeline demos on request.

@irsolutions

I understand that you are seeking engineers to build and optimize video compression systems focused on compression rate and VMAF score. With my extensive experience in video codecs, AV1 encoding, and quality assessment metrics, I am confident that I can deliver exceptional results for your project. In past projects, I have successfully optimized compression algorithms to achieve high compression ratios while meeting quality thresholds, ensuring that compressed videos meet specified VMAF thresholds. My expertise in AV1, FFmpeg, and video processing libraries, coupled with my Python programming skills, positions me well to tackle the technical requirements of this task. Having worked on similar projects in the past, particularly in the areas of AI/ML, video analysis, and scene classification, I am well-equipped to handle the complexities of your video compression task. I am excited about the opportunity to work on this project and contribute to its success. If you are interested in discussing how I can help you achieve your project goals, please feel free to reach out to me. I look forward to the possibility of collaborating with you on this exciting endeavor.

@efanntyo

As one who's passionate about AI development, automation, and video processing, your project speaks directly to my core specialties. My skill set includes proficiency in FFmpeg and video processing libraries as well as an understanding of video encoding parameters such as those you've detailed in your project description. I'm also experienced with AV1 codec, AV1-nvenc, and SVT-AV1 encoders. My knowledge of video containers and formats (MP4, Y4M) along with CQ, bitrate, profiles is extensive. Moreover, I possess strong capabilities in machine learning and computer vision which can be an asset for the secondary tasks of building scene detection and classification systems utilizing technologies like PyTorch- all elements that can aid your aim to adapt encoding parameters based on content type. In terms of performance objectives, I can assure you that I have a proven history of not only meeting but exceeding targets by combining my AI skills with hands-on experience. Finally, my dedication to quality assurance through clean coding practices and commitment to maximum efficiency through DevOps best practices for CI/CD have given me a strong foundation in executing projects of this scale. It would be an honor to contribute to your project delivery by ensuring high compression ratios while maintaining superb quality benchmarks using VMAF thresholds.

@Sidrairfan078

Hi there, I'm excited to apply for the Video Compression Task. With substantial experience in developing and optimizing video compression systems, primarily using AV1 codecs, I am well-prepared to tackle the challenges you've outlined. My expertise in video processing libraries such as FFmpeg, coupled with strong Python programming skills, allows me to design efficient compression pipelines that can meet your target compression ratios of 5-20x while maintaining high VMAF quality scores. I have successfully built systems in the past that not only achieve but exceed VMAF thresholds, ensuring that videos meet the desired quality standards. I'm also proficient in implementing adaptive encoding and scene classification techniques that will enhance the efficiency of video processing. I aim to begin our collaboration promptly and can provide a complete encoding pipeline along with performance benchmarks by the end of the first phase. I look forward to discussing your specific needs further. Thanks,

@BeshoyMousaKhair

hello there, i am a senior software engineer and i can do this task as required with very high quality, and on time. regards,

@explainerhub

Hi, After reviewing your description, we’re excited about the opportunity to collaborate and confident we can deliver it within your budget and timeline. We are an expert team which have many years of experience on Python, Engineering, Video Services, C++ Programming, Video Processing, Computer Vision, AI Model Development, Model Testing & Optimization Please come over chat and discuss your requirement in a detailed way. Regards

@softsolution2000

I am confident that my skills in Python, Engineering, Video Services, C++ Programming, and Video Processing align perfectly with the Video Compression Task requirements. With over 15 years of experience, I have a proven track record in optimizing video compression systems. I am eager to discuss the project scope further to ensure that it can be completed within your budget and timeline. Please review my profile for past work examples, and let's collaborate to achieve the project goals. Looking forward to hearing from you to get started promptly.

@trm66614

Hi there,Good afternoon I am Talha. I can work with your project skills Model Testing & Optimization, Video Services, AI Model Development, Computer Vision, Python, C++ Programming, Engineering and Video Processing am writing to propose an innovative approach to tackle your project. Our proposal centers on delivering creative and effective solutions that will set your project apart. We will present fresh, out-of-the-box ideas that align with your project's objectives, demonstrating how we can achieve remarkable results. Please note that the initial bid is an estimate, and the final quote will be provided after a thorough discussion of the project requirements or upon reviewing any detailed documentation you can share. Could you please share any available detailed documentation? I'm also open to further discussions to explore specific aspects of the project. Thanks Regards. Talha Ramzan

@dfordesigners

Dear Hiring Manager, I am a seasoned engineer with a strong background in video compression systems, specializing in AV1 codec optimization and quality metrics like VMAF. With hands-on experience in designing and implementing compression pipelines and optimizing algorithms for high compression ratios, I am well-equipped to tackle the challenges outlined in your project brief. My technical expertise includes proficiency in FFmpeg, Python programming, and a deep understanding of video encoding parameters. I have successfully delivered similar projects in the past, ensuring quality thresholds are met while achieving significant compression rates. I am excited about the opportunity to contribute to your project and am confident in my ability to deliver a solution that aligns with your requirements. I look forward to discussing further details and showcasing my portfolio samples to demonstrate my capabilities. Best regards,

@Alesha1018

Hello, I have extensive experience building and optimizing AV1-based video compression pipelines, including work with SVT-AV1 and AV1-nvenc, FFmpeg automation, VMAF-driven QA, and GPU-accelerated encoding on RTX-class hardware. My solution is a modular Python + FFmpeg pipeline that combines fast scene detection and classification, adaptive per-scene encoding profiles (SVT-AV1 on CPU and AV1-nvenc where appropriate), and an iterative VMAF-guided rate-control loop with lightweight quality prediction to minimise re-encodes. I will provide performance-tuned configs, benchmarking scripts for 4K/1080p chunks on RTX4090-class hardware, VMAF reports, and full documentation so the pipeline meets the 30-second per-chunk target and the specified compression/VMAF goals. Looking forward to working with you! Can we discuss this further via private chat? Warm regards, Alesha

@MADAlphaDesigns

THIS IS NOT THE AUTO BID, PLEASE REVIEW IT IN DETAIL Hi June, I am excited about the opportunity to develop and optimize video compression systems focused on AV1 encoding and quality metrics. With extensive experience in building compression pipelines, I am confident in my ability to significantly reduce file sizes while maintaining high quality standards. I have successfully implemented AV1 codecs in previous projects and am well-versed in achieving optimal VMAF scores between 85-93. My approach will leverage advanced algorithms to ensure high compression ratios of 5-20x without sacrificing video quality. I am proficient in FFmpeg and have solid skills in Python, allowing me to create robust solutions that efficiently handle both 4K and HD content. Additionally, I can integrate machine learning techniques for adaptive encoding, enhancing performance in real-time processing of video chunks. I propose to deliver the initial version of the encoding pipeline within 20 days, and I look forward to discussing further details on how we can tackle the compression-speed tradeoff effectively.

@mykhaylob4

✋ Hi there. I can develop a full video compression pipeline using AV1 that achieves high compression rates while maintaining VMAF quality thresholds. ✔️ I have strong experience with AV1 encoding (SVT-AV1 and AV1-nvenc), FFmpeg automation, and Python scripting for video processing. I previously built pipelines that handled 4K and HD videos, optimized CQ and bitrate settings, and ensured VMAF scores above 90 while achieving compression ratios above 5x. ✔️ For your project, I will design an end-to-end workflow including scene detection, adaptive encoding based on content type, and GPU-accelerated processing for speed. Each video chunk will be analyzed, encoded, and tested against VMAF targets, with performance benchmarks documented for every run. ✔️ I will provide scripts, configuration files, and detailed instructions to reproduce results. The system will support MP4 outputs, yuv420p pixel format, and maintain the 30-second processing requirement per 30-second 4K segment. Let’s chat so I can review your sample videos and outline the optimal encoding approach. Best regards, Mykhaylo

@hayat38402

Hi, how are you doing? I went through your project description and I can help you in your project. your project requirements perfectly match my expertise. We are a team of expert engineers, we have successfully completed 1000+ Projects for multiple regular clients from OMAN, UK, USA, Australia, Canada, France, Germany, Lebanon and many other countries. We are providing our services in following areas:  Neural Network/ Natural Language Processing  Machine learning/Data Mining  Deep Learning and Computer Vision  Image Recognition & Artificial Intelligence  AI text analysis model and Reinforcement Learning.  Omnet++ and Sumo simulation,  Python/ MATLAB  Asterisks PBX  NS3 simulation  Linux We'll make sure that your project is done in a perfect way and do our best until you were satisfied. I am confident I can provide you with top-notch materials that will fit your needs.

@brayanstiven5

Hi June H.. I am very excited with your project because I have completed similar project recently. The skills required for your project are my main specialty.(C++ Programming, Model Testing & Optimization, Engineering, Computer Vision, Python, Video Processing, AI Model Development and Video Services) I can handle this perfectly and have abundent experiences. Please confirm that I am one of the best fits for you and drop me a message for further discussion. Thanks and Best Regards.

@vorasiddh4it

Hello June H., I’m a Video Compression & Computer Vision Engineer with hands-on experience building AV1 pipelines, SVT-AV1 optimizations, FFmpeg workflows, VMAF-based quality control, and GPU-accelerated encoding. I can show you working demo code for AV1 compression + VMAF scoring before we make a deal. Why I’m a Strong Fit 1️⃣ Deep experience with SVT-AV1 / AV1-NVENC, FFmpeg filters, rate-control tuning 2️⃣ Strong Python workflows for VMAF evaluation, chunk-based encoding, QC automation 3️⃣ Built adaptive pipelines using scene detection, shot classification, and ML-based parameter switching 4️⃣ Optimized real-time 4K processing on RTX 4090 / CUDA / NVENC 5️⃣ Advanced knowledge of yuv420p, MP4 container, CQ control, profiles, bitrate ladders Relevant Projects • AV1Ultra Encoder – 4K→AV1 10–18× compression while keeping VMAF 90+ • SceneAware Adaptive Encoder – ML-based scene classifier adjusting CQ/bitrate per shot • FastVMAF Bench System – per-chunk pipeline delivering VMAF ≥ 88 within 25s encoding window What I Will Deliver ✔ Complete AV1 compression pipeline (scripts + configs) ✔ Adaptive encoding tuned for 5–20x compression with VMAF 85–93 ✔ Efficient chunk processing for 30s 4K segments within real-time constraints ✔ Benchmark report + VMAF results + compression ratios ✔ Scene detection & per-content parameter switching (animation / gaming / text) ✔ Clean documentation + runnable pipeline I can share AV1 sample outputs + VMAF plots on request.

@maksymh31

Hello, June, I will build an AV1-based compression pipeline tuned for 4K and 1080p that meets your VMAF and speed targets. Approach: implement SVT-AV1 (with AV1-nvenc fallback) driven by FFmpeg wrappers, add scene-detection/classification (lightweight CNN) to choose per-scene CQ/bitrate presets, and integrate VMAF-driven QC and a quality predictor to avoid costly re-encodes. For performance, I’ll parallelize 30s chunk processing and tune encoder knobs for an RTX 4090 baseline to achieve 20–30s per chunk while targeting 5–20x compression and VMAF 85–93. To start I need sample 4K/1080p clips, your exact VMAF thresholds per content, and access to baseline hardware or logs. I’ll deliver a working prototype and initial benchmarks in 7 days and the complete pipeline, docs, and VMAF reports in 14 days. Which content categories (animation, gaming, text-heavy, live-action) do you prioritize and are there per-category VMAF targets or bitrate ceilings I should use? Best regards,

@annes01

Projects like this excite me because they push me and keep the work interesting. I appreciate your emphasis on developing compression pipelines that reduce file sizes while maintaining quality, as it's essential to create an integrated solution that balances efficiency and performance. With my strong experience in AV1 encoding, VMAF quality assessment, and Python programming, I have a proven track record of delivering practical, measurable results in video compression tasks. Happy to outline how I would turn this plan into a working solution. Chat soon, Anne S