This paper describes a novel scene-adaptive imaging technology designed to enhance the image quality of wide-angle immersive videos such as 360-degree videos. It addresses the challenge of balancing resolution, frame rate, and dynamic range due to sensor limitations by dynamically adjusting shooting conditions within a single frame on the basis local subject characteristics.
The global demand for highly immersive video content, such as 360-degree videos and dome screen videos, is escalating. Accompanying this demand is an increasing need for cameras capable of capturing wide viewing angles effectively (e.g. panoramic cameras and omnidirectional multi-cameras). Wide-angle videos typically feature subjects exhibiting diverse textures, movements, and brightness on a single screen, requiring image sensors to meet rigorous performance quality, including not only resolution and frame rates exceeding ultra-high definition television levels but also excelling in dynamic range for incident light.
However, developing an image sensor that fulfils all these requirements simultaneously is challenging. Traditional image sensors, such as Complementary Metal Oxide Semiconductor (CMOS) image sensors operating under constant shooting conditions across the entire pixel array, are limited by a trade-off between resolution, frame rate, and the noise performance related to dynamic range (El Desouki et al and Kawahito). Moreover, higher pixel readout rates lead to increased data transfer streams and higher power consumption in image sensors.
In this paper, we present...
Exclusive Content
This article is available with a Technical Paper Pass
Selective multi-pass encoding for cost-effective video streaming
Tech Papers 2026: This paper presents a content-adaptive strategy, CASE, that predicts whether additional encoding passes would provide meaningful gains using a lightweight mechanism that derives spatial and temporal features from each video segment.
Scalable SSIM estimation from PSNR for per-title and context adaptive encoding workflows
Tech Papers 2026: This paper proposes ApproxSSIMate, a low-complexity method for estimating SSIM from PSNR combined with reference-sequence statistics.
Feasibility and deployment strategies for cloud-based AOIP audio consoles
Tech Papers 2026: This paper investigates the feasibility of cloud-based audio-mixing systems by re-examining existing assumptions about network conditions, multicast transport and synchronisation.
A 100 Hz frame-interleaved approach to live multi-camera switching in led-based virtual production: Experience from a public-broadcaster proof of concept
Tech Papers 2026: This paper reports a Virtual Production (VP) proof of concept carried out by SWR, a German public-service broadcaster, under real broadcast conditions.
Transforming broadcast TV in Ireland: A path to an IP future
Tech Papers 2026: This paper gives an overview of how Ireland is working towards the transformation of free-to-air public service broadcasting to include greater access to internet-based content delivery.





