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Proportional-Derivative (PD) control is a widely used control method in various engineering systems to enhance stability and performance. In a system with only proportional control, common issues include high maximum overshoot and oscillation, observed in both the error signal and its rate of change. This behavior can be divided into three distinct phases: initial overshoot, subsequent undershoot, and gradual stabilization.
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    Compact descriptors for visual search (CDVS) standardizes image retrieval by enabling interoperability. It significantly reduces feature data size and computational costs for efficient visual search applications.

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    Area of Science:

    • Computer Vision
    • Image Processing
    • Information Retrieval

    Background:

    • The need for efficient image retrieval systems is growing.
    • Interoperability in visual search applications is crucial.
    • Existing methods for image feature extraction can be computationally intensive and require large storage.

    Purpose of the Study:

    • To introduce the ISO/IEC moving pictures experts group (MPEG) Compact Descriptors for Visual Search (CDVS) standard.
    • To detail the technical features and evolution of the MPEG-CDVS standard.
    • To highlight improvements in data size and computational efficiency for image retrieval.

    Main Methods:

    • Standardization of bitstream syntax for image feature data.
    • Development of efficient feature extraction algorithms.
    • Optimization of computation and memory footprint.

    Main Results:

    • Achieved significant reductions in image feature data size.
    • Demonstrated reduced computation and memory requirements for feature extraction.
    • Established a standardized bitstream syntax for interoperable visual search.

    Conclusions:

    • The MPEG-CDVS standard offers a robust solution for efficient and interoperable image retrieval.
    • The standard facilitates practical implementation of visual search applications.
    • Continued evolution of CDVS promises further advancements in image search technology.