Saliency Detection in the Compressed Domain for Adaptive Image Retargeting

By Yuming Fang, Zhenzhong Chen, Weisi Lin, Chia-Wen Lin. IEEE Transactions on Image Processing, 2012

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Consistent Video Saliency Using Local Gradient Flow Optimization and Global Refinement (2015, background): “Digital Object Identiﬁer 10.1109/TIP.2015.2460013 segmentation [35], [36], image retargeting [13], [23], [24], object recognition and detection [31], [34], [42], video compression [41] and summarization [30], [32].”
Predicting Human Eye Fixations via an LSTM-Based Saliency Attentive Model (2016, background): “ntic classiﬁers for detecting higher level concepts such as faces, persons, cars and horizons [37], [10], [38], [9], [39]. Related research efforts have also been done in the compressed domain, as in [40], [41]. A. Saliency and Deep Learning Only recently, thanks to the large spread of deep learning”
Cluster-based Co-saliency Detection (2013, neutral): “In practice, applications such as image retargeting [27], [28], object location and recognition [29], only need to roughly but quickly localize the common objects from the multiple images.”
Nested Network With Two-Stream Pyramid for Salient Object Detection in Optical Remote Sensing Images (2019, background): “SALIENT object detection aims at locating the most attractive and visually distinctive objects or regions from an image, which has been used in image/video segmentation [1], image retargeting [2], image foreground annotation [3], thumbnail creation [4], image quality assessment [5], and video summar”