62 citations · 78 across the 5 of their papers we have counts for
5 papers
Diversity-aware Multi-Video Summarization
Rameswar Panda, Niluthpol Chowdhury Mithun, Amit K. Roy-Chowdhury
Most video summarization approaches have focused on extracting a summary from a single video; we propose an unsupervised framework for summarizing a collection of videos. We observ…
Multi-View Surveillance Video Summarization via Joint Embedding and Sparse Optimization
Rameswar Panda, Amit K. Roy-Chowdhury
Most traditional video summarization methods are designed to generate effective summaries for single-view videos, and thus they cannot fully exploit the complicated intra and inter…
Collaborative Summarization of Topic-Related Videos
Rameswar Panda, Amit K. Roy-Chowdhury
Large collections of videos are grouped into clusters by a topic keyword, such as Eiffel Tower or Surfing, with many important visual concepts repeating across them. Such a topical…
Unsupervised Adaptive Re-identification in Open World Dynamic Camera Networks
Rameswar Panda, Amran Bhuiyan, Vittorio Murino +1
Person re-identification is an open and challenging problem in computer vision. Existing approaches have concentrated on either designing the best feature representation or learnin…
Continuous Adaptation of Multi-Camera Person Identification Models through Sparse Non-redundant Representative Selection
Abir Das, Rameswar Panda, Amit K. Roy-Chowdhury
The problem of image-base person identification/recognition is to provide an identity to the image of an individual based on learned models that describe his/her appearance. Most t…