Journal: Journal of Imaging

Article Title: Motion Vector Extrapolation for Video Object Detection

doi: 10.3390/jimaging9070132

Figure Lengend Snippet: Evaluation of MOVEX with H.264 MVs or FlowNet2 optical flow [ 9 ] against baseline Faster R-CNN model across both MOT20 [ 14 ] and MOT16 [ 30 ] datasets. Additionally, two YOLOv4 models [ 1 ] trained on the COCO dataset [ 17 ] with varied input resolutions ( 416 × 416 and 960 × 960 ) demonstrate the accuracy gains possible without sacrificing inference latency when using the MOVEX technique.

Article Snippet: with MOVEX + H.264 MVs , , , .

Techniques:

Journal: Multimedia Tools and Applications

Article Title: A comprehensive taxonomy on multimedia video forgery detection techniques: challenges and novel trends

doi: 10.1007/s11042-023-15609-1

Figure Lengend Snippet: An analysis of the performance analysis of inter-frame and intra-frame video detection algorithms

Article Snippet: [ ] , 2017 , Prediction Residual and Optical Flow , Group 1 was captured in H.264 on a Sony XPERIA Z2 from security cameras dubbed ‘Presto’ and ‘Hikvision.’ Group 2 was initially collected in H.264 utilizing a SONY XPERIA Z2 from surveillance cameras named ‘Presto’ and ‘Hikvision.’ , The accuracy reaches up to 86% , When employing low-quality movies, the proposed technique’s efficiency is minimal..

Techniques: Residue, Software, Extraction, Blocking Assay, Construct