… existing viewport trajectory dataset, we find the randomness and continuity of the viewport …
, we design a viewport prediction model based on a self-attention mechanism to provide more …

… a novel viewport prediction model to address viewport prediction as a time … viewport
prediction model, called VPT360, which adopts the self-attention layer from transformer to predict …

… The Encoder and Decoder have the same architecture but are based on self-attention and
cross-attention, respectively. C𝑓 (·) and C𝑡 (·) denote concatenating vectors along the feature …

Viewport prediction is a crucial aspect of tile-based 360 … a tile classification based viewport
prediction method with Multi-… and video contents on future viewport selection. In addition, …

… To fill in this gap, this paper shifts the traditional single-viewport saliency models that have
… using the new self-built dataset. Then the proposed head movement prediction framework is …

… Therefore, the past years have seen growing attention to models for viewport prediction in
360֯ … Their method is evaluated on a self-created dataset for PHs of 1, 3 and 5 seconds. Their …

… viewport prediction to reduce bandwidth consumption. However, the performance of models
for single-viewpoint prediction is … [15] adopt LSTM and self-attention mechanism to predict …

… and allocate their attention across the viewing area. The synergistic temporal-spatial …
This also proves the self-regulation ability of the proposed method. In the aforementioned …

… viewport prediction to reduce bandwidth consumption. However, the performance of models
for single-viewpoint prediction is … [15] adopt LSTM and self-attention mechanism to predict …

… To bridge the gap between the saliency prediction on real-world scenes and on scenes …
saliency prediction problem in AR. Local block images are extracted to simulate the viewport and …