Meyd-115-en-mosaic-javhd-today-1004202201-58-35... Today

The proliferation of ultra‑high‑definition (UHD) video streams and the demand for live visual analytics have driven the need for scalable, low‑latency mosaicking solutions. This paper presents MEYD‑115, a Java‑based high‑definition (JAVHD) video‑mosaic framework that can ingest, process, and display up to 64 concurrent 4K streams in real time on commodity multi‑core servers. Leveraging a hybrid CPU‑GPU pipeline, a lock‑free tile scheduler, and an adaptive bitrate‑aware compositing algorithm, MEYD‑115 achieves average end‑to‑end latency of 38 ms (± 4 ms) while maintaining ≥ 95 % visual fidelity (PSNR > 42 dB) across a wide range of network conditions. The system is validated on a public dataset of traffic surveillance and on a synthetic benchmark that mimics modern broadcast workflows. Results demonstrate a 3.2× speed‑up over state‑of‑the‑art C++ pipelines and a 45 % reduction in memory footprint thanks to on‑the‑fly tile compression.

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| Feature removed | Latency (ms) | PSNR (dB) | Memory (GB) | |-----------------|--------------|----------|-------------| | Tile compression | +9 | –0.3 | +6 | | Adaptive scheduler | +13 | –0.7 | – | | Lock‑free queues | +5 | –0.1 | – | MEYD-115-EN-MOSAIC-JAVHD-TODAY-1004202201-58-35...

The adaptive scheduler yields the most pronounced latency reduction, confirming its importance in bandwidth‑constrained environments.

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class Scheduler 
    private final AtomicReferenceArray<ConcurrentLinkedDeque<TileJob>> queues;
    public TileJob fetch() 
        int idx = ThreadLocalRandom.current().nextInt(queues.length());
        TileJob job = queues.get(idx).pollFirst();
        if (job != null) return job;
        // steal from a random victim
        int victim = ThreadLocalRandom.current().nextInt(queues.length());
        return queues.get(victim).pollLast();

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MEYD‑115 EN MOSAIC JAVHD TODAY 1004202201‑58‑35
A High‑Performance, Real‑Time Video Mosaic Framework in Java HD