def METHOD_NAME(video_prop, fps, score_thread, iou_thread, \
                           nms_id=5, nms_thread=0.01, nms_delta=10, backgroundid=0):
    """process_video_classify"""
    prop_filter = []
    for item in video_prop:
        if item[2] == backgroundid:
            continue
        prop_filter.append(item)
    # prop_filter = sorted(prop_filter, key=lambda x: x[nms_id], reverse=True)
    prop_filter = base_nms(prop_filter, nms_thread, nms_delta, nms_id)
    prop_filter = sorted(prop_filter, key=lambda x: x[0])
    video_results = []
    for item in prop_filter:
        start_sec = item[0] / fps
        end_sec = item[1] / fps
        start_id_frame = item[0]
        end_id_frame = item[1]
        # start_time = "%02d:%02d:%02d" % ((start_id_frame / fps) / 3600, \
        #     ((start_id_frame / fps) % 3600) / 60, (start_id_frame / fps) % 60)
        # end_time = "%02d:%02d:%02d" % ((end_id_frame / fps) / 3600, \
        #     ((end_id_frame / fps) % 3600) / 60, (end_id_frame / fps) % 60)
        start_time = int(start_id_frame / fps)
        end_time = int(end_id_frame / fps)
        label_id = item[2]
        label_name = item[3]
        label_classify_score = item[4]
        label_iou_score = item[5]
        if label_classify_score > score_thread and label_iou_score > iou_thread:
            video_results.append({"start_time": start_time,
                                  "end_time": end_time,
                                  "label_id": label_id,
                                  "label_name": label_name,
                                  "classify_score": label_classify_score,
                                  "iou_score": label_iou_score})
    return video_results