Low-complexity FGS coding for interlaced SVC in low-delay applications

JVT SVC has adopted AR-FGS (Fine Granularity Scalability with Adaptive Reference) to efficiently encode the progressive sequences for low-delay applications. Generally, low-delay applications demand low complexity. However, to some extent, the significant gain of AR-FGS is achieved at the expense of much higher coding complexity. In this paper, we propose an efficient FGS coding scheme for low-delay applications that can more smartly compress the interlaced video sources by fully utilizing the special temporal correlation of interlaced sequences. Compared to AR-FGS in coding interlaced sequences, the new approach is able to significantly reduce both the encoding and decoding complexity while maintaining comparable compression performance. Moreover, benefited from the introduced open-loop MC, the proposed scheme can also support additional temporal scalability.