Video person re-identification (V-ReID) can leverage rich spatial-temporal information
embedded in sequence data to achieve better accuracy. However, it is vulnerable to the …

Content-based video moment retrieval (CVMR) aims to localize a successive sequence of
frames in an untrimmed reference video, called target moment, that is semantically …

Video person re-identification (re-ID) plays an important role in intelligent video surveillance,
which can automatically match the same person across video clips under non-overlapping …

Abstract Recurrent Neural Network (RNN) is a typical feedback neural network, which is
particularly effective in processing time-series data tasks such as image description, text …

Video-based person re-identification (Re-ID) aims to retrieve the target person from video
sequences captured by a distributed camera system. It remains a challenging task due to the …

Video coding can effectively compress data, while the introduction of compression artifacts
degrades the visual quality and the performance of artificial intelligence video applications …

Under limited bandwidth conditions, video transmission often employs lossy compression to
reduce the data volume, inevitably introducing compression noise. Quality enhancement of …