## Abstract This paper presents a new CNN‐based architecture for real‐time video coding applications. The proposed approach, by exploiting object‐oriented CNN algorithms and MPEG encoding capabilities, enables low bit‐rate encoder/decoder to be designed. Simulation results using Claire video sequen
A real-time algorithm for error recovery in remote video-based surveillance applications
✍ Scribed by Claudio Sacchi; Fabrizio Granelli; Carlo S. Regazzoni; Franco Oberti
- Publisher
- Elsevier Science
- Year
- 2002
- Tongue
- English
- Weight
- 816 KB
- Volume
- 17
- Category
- Article
- ISSN
- 0923-5965
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✦ Synopsis
This work presents a real-time post-processing error-recovery algorithm explicitly devoted at enhancing the performances of outdoor video-surveillance systems working in remote modality. The aim of the proposed algorithm is to distinguish between changed blocks due to variations in the observed scene and noise-altered blocks that contain errors caused by channel noise. Such errors can be corrected by directly exploiting the considerable spatio-temporal redundancy of the encoded digital source without using any additional information. Experimental results, obtained through colour JPEG transmission simulations performed in the context of an actual remote video-surveillance system, compare the proposed scheme with different concealment schemes. It is proven that substantial improvements both in terms of perceptual quality and performance of the overall video-surveillance system are possible, by using the proposed algorithm as a stand-alone module or in conjunction with a relatively low-redundancy FEC coding.
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