[PDF] Top 20 Motion Guided Spatial Attention for Video Captioning
Has 10000 "Motion Guided Spatial Attention for Video Captioning" found on our website. Below are the top 20 most common "Motion Guided Spatial Attention for Video Captioning".
Motion Guided Spatial Attention for Video Captioning
... the spatial attention learned by our model, we present some example sentences generated by different models along with the attention maps generated by our model (MGSA w/ ...of ... See full document
8
Guiding the Flowing of Semantics: Interpretable Video Captioning via POS Tag
... The video features related to different POS tags have different ...the video features related to noun and verb always have sufficient visual ...adaptive spatial attention model to predict next ... See full document
10
Motion Superpixels for Temporal Video Classification
... for video classification has been given little ...using spatial RGB values as low-level features, we use optical flows mapped into hue-saturation-value (HSV) space to capture rich motion features ... See full document
19
Multi Feature Fusion for Video Captioning
... Video captioning is the task that integrates natural language processing and computer ...global video feature and loss the spatial and motion ...novel video captioning ... See full document
7
STA: Spatial-Temporal Attention for Large-Scale Video-Based Person Re-Identification
... novel Spatial-Temporal Atten- tion (STA) approach to tackle the large-scale person re- identification task in ...of video clips using frame-level aggregation ...both spatial and temporal dimensions, ... See full document
8
Research on Motion Attention Fusion Model Based Video Target Detection and Extraction of Global Motion Scene
... on motion attention fusion model under global motion ...Firstly, motion vector field gener- ated by optical flow is pre-processed by accumulation and median filter; Then, according to the ... See full document
6
Global motion compensated visual attention based video watermarking
... novel video watermarking algorithm that offers a fine balance between impercep- tibility and robustness using motion compensated wavelet-based visual attention model ...includes spatial cues ... See full document
31
Captioning for Motion Detection for video surveillance Applications using Deep Learning
... image captioning framework and so that the attributes can be introduced to the CNN and RNN ...map video frames to the natural language ...[22] attention is calculated using the top down and bottom up ... See full document
6
Low Rank HOCA: Efficient High Order Cross Modal Attention for Video Captioning
... sample video data to 80 frames for extract- ing image ...extracting motion features, we divide the raw video data into video chunks centered on 80 sampled frames at the first ...Each ... See full document
11
Fully Convolutional Video Captioning with Coarse-to-Fine and Inherited Attention
... and video, which could provide additional semantic in- ...frame, motion and ...of video captioning to catch more useful and precise visual ...when captioning a ...to video ... See full document
8
Temporal Deformable Convolutional Encoder-Decoder Networks for Video Captioning
... temporal attention mech- anism to focus on the frames/clips that are highly relevant to the output word for enriching the video-level representa- ...of video) as input and produces inter- mediate ... See full document
8
A protocol for a randomized clinical trial of interactive video dance: potential for effects on cognitive function
... interactive video dance games is played while standing on a dance pad of about 3 ft by 3 ft, on which there are four 1 ft ...a video monitor via a videogame ...coordination, attention and muscle ... See full document
9
Can Neural Image Captioning be Controlled via Forced Attention?
... the attention of the model we can control its ...image captioning model that uses attention, and fix the attention to pre- determined areas in the ...the attention and find that these ... See full document
5
Compact and low complexity binary feature descriptor and Fisher Vectors for video analytics
... Fisher Vectors for binary data: Local features combined with FVs [34, 51, 52] have attracted much attention because of their superior performance compared to Bag of Features (BoF) representations [53]. FVs provide ... See full document
17
Digital video stabilizer by adaptive fuzzy filtering
... A good MC unit should remove the unwanted camera motion while tracks the intentional motion without any delay. For this purpose, it should discriminate the un- wanted and intentional camera motions while ... See full document
15
A Spatial temporal Attention Module for 3D Convolution Network in Action Recognition
... an attention module called STAM that can be equipped into 3D convolutional neural network for action ...temporal attention and special attention. The temporal attention mechanism enables the ... See full document
8
Motion Estimation and Motion Compensated Video Compression Using DCT And DWT
... Video compression techniques are used to reduce the redundancy in video data. For this purpose DCT (Discrete Cosine transform) and DWT (Discrete Wavelet Transform) are used. Block matching algorithm, helps ... See full document
5
Object-guided Spatial Attention in Touch: Holding the Same Object with Both Hands Delays Attentional Selection
... Grossenbacher, 1996; Soto-Faraco et al., 2004). In line with equivalent effects on early somatosensory processing (Eimer et al., 2004), the present study shows that proprioceptive information about hand location ... See full document
39
Neural mechanisms of attention to motion
... of motion coherence and luminance contrast were kept constant throughout a block, but changed between blocks in a factorial ...pay attention to the color of the fixation dot and to press the response button ... See full document
68
Attention and the motion after effect
... take attention away from the adapting stimulus during adaptation, observers in some conditions carried out a demanding RSVP task based on stimuli appearing at ... See full document
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