Intellectual Discovery Co., Ltd.

Hyun Ho Jo

Dong Gyu Sim

Jung Hak Nam

Hyo Min Choi

Kyeong Hye Kim

The present invention relates to a scalable video coding method and apparatus using inter prediction mode. A decoding method includes determining motion information prediction mode on a target decoding block of an enhancement layer, predicting motion information on the target decoding block of the enhancement layer using motion information on the neighboring blocks of the enhancement layer, if the determined motion information prediction mode is a first mode, and predicting the motion information on the target decoding block of the enhancement layer using motion information on a corresponding block of a reference layer, if the determined motion information prediction mode is a second mode.

Scalable video coding method and apparatus using inter prediction mode

An inter-layer prediction method and device for a multi-layer video. The inter-layer prediction method includes the steps of: generating a restored picture in a reference layer through the predictive coding of the reference layer, determining when there is a restored picture in the reference layer for the time corresponding to a current picture in an enhancement layer for coding or decoding of the current picture in the enhancement layer, and performing inter-layer prediction by referencing a picture in the enhancement layer or a restored picture in the reference layer, depending on whether there is restored picture from the same view in the reference layer.

Inter-layer prediction method for multi-layer video and device therefor

The present invention relates to a scalable video coding method and apparatus using an intra prediction mode. A decoding method includes configuring a maximum probability mode set for predicting an intra prediction mode for a target decoding block of an enhancement layer so that the maximum probability mode set includes an intra prediction mode for a corresponding block of a reference layer and restoring the target decoding block of the enhancement layer using any one of intra prediction modes included in the maximum probability mode set.

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Seoul, South Korea

Hyun Ho Jo