Identifying Root Causes of Video Quality Degradation

CHALLENGE

Identifying Root Causes of Video Quality Degradation

Before adopting StreamEye, AI-Imvision relied on internally developed tools with limited functionality. As a result, identifying the root causes of artifacts such as motion blur, pixelation, and color distortion required significant manual effort and time-consuming cross-checking. To ensure the best quality performance of their product, the team needed a professional bitstream analysis tool capable of providing detailed, frame-level and macroblock-level information.

ELECARD SOLUTION

Elecard StreamEye Integration for Deep Video Stream Analysis

AI-Imvision integrated Elecard StreamEye into their quality analysis workflow to perform comprehensive video stream inspection. By using StreamEye, engineers were able to visually and technically analyze detailed bitstream information and correlate them with artifacts and specific encoding settings.

RESULT

• Fast Implementation
  Elecard StreamEye integration was straightforward and required minimal technical overhead. An IT engineer successfully deployed the solution in just half a day, allowing the team to begin analysis work immediately.

• Improved Diagnostic Capabilities

  With Elecard StreamEye, AI-Imvision gained access to detailed and accurate bitstream data, including QP values, macroblock types, bitrate statistics, and frame structure information. The team can quickly diagnose video quality issues and understand their technical root causes.

• Cost Savings and Operational Efficiency

  StreamEye made engineers’ daily work noticeably more convenient, which has optimized internal engineering resources. Early detection of encoding problems minimizes the risk of quality-related escalations at later stages, helping the company avoid potential rework costs and customer dissatisfaction.

• Higher Product Quality and Stronger Competitive Position

  By having access to precise data such as QP values and motion vector distributions, AI-Imvision successfully eliminated recurring artifacts like motion blur and pixelation. This professional-grade debugging process has directly resulted in a more stable, higher-quality end product, ensuring a superior viewing experience for their customers.

Feedback

“Elecard StreamEye provides detailed and accurate information about the video bitstream, including QP, macroblock types, bitrate, and frame structure. The tool is convenient, fast, and easy to use. Integration was smooth, and we experienced no issues during implementation.”

Zane Zhai, Video Encoding Engineer at AI-Imvision